Les outils d’IA en francais sont vraiment en retard par rapport a l’anglais
i teach french immersion and i want to raise something that doesn’t get enough attention in these threads. every major ai tool, chatgpt, grammarly, quillbot, all of them perform noticeably worse in french than in english. grammar suggestions are often just wrong, quillbot’s paraphrasing tends to produce sentences a native speaker would never write, and detection tools seem to have almost no calibration for french writing at all.
this creates a real equity gap for my students. they’re using the same tools as english classes across the hall but getting a much worse, sometimes actively harmful, experience. a student who trusts a grammar suggestion in french might actually learn an incorrect construction because the tool confidently gave them bad advice.
i don’t think this is a minor technical detail, i think it’s a language equity issue that deserves more attention from boards making decisions about which tools to license. has anyone found any ai tool that actually handles french well, not just as an afterthought to its english model.
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this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.
adding to Chloe's point, this is a Canadian specific problem that almost never comes up in the American blogs and webinars most PD sessions pull from. our language reality here, english, french, and the specific quebec and acadian varieties, just isn't represented in most training data. worth raising directly with whoever handles tool procurement at your board, Nathan.
i actually tested this out of curiosity last month, ran the same paragraph through several tools in both languages and the french output was noticeably weaker every single time, more literal, less natural phrasing. it's a real gap, not just a perception.
thank you all, this confirms i'm not imagining the gap. going to put together something formal to bring to our board's tech committee.
this matches everything i've seen too. the underlying models are trained on vastly more english data, so french output, especially quebec french specifically as opposed to metropolitan french, ends up feeling like a second class citizen inside these tools. i've had students get corrected toward france french constructions that don't match how we actually speak and write here. process over detection, always, but also representation over convenience when it comes to language tools.