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Again, just anecdotally, I don't know if its just me, but most of my experience is of google/apple translate and auto-corrects going from the word I want to a w

Again, just anecdotally, I don't know if its just me, but most of my experience is of google/apple translate and auto-corrects going from the word I want to a wrong/incorrect one. It is one of my most frustrating everyday software experiences. Not only is it not getting better, its actually getting worse, because before I at least had the correct sentence. Now my correct sentence is mangled as it tries to force corrections/substitutions, and I have to continually go back and manually-correct the auto-correct. It seems to work for me on short pre-formed sentences and toy examples (if you communicate using pre-formed phrases and use well-worn cliches in your writing, it seems to pick up and predict for them). I wonder whether the "increased accuracy" of modern solutions aren't just functionally having access to a larger library of lookup rules of stored common/popular phrases and direct translations (a huge part of practical 'AI' advancement has been on the scaling-infrastructure/collection of new-scales-of-data rather than the AI techniques themselves IMO) effectively mined from its training data, but the moment I try to write or dictate anything new, original, or lengthy and it turns absolutely pear-shaped.

dahart 7y ago
That does sound frustrating. I didn’t mean to discount your experience, it certainly is possible that the additional AI has made it worse for some people, especially if there’s an accent involved. Not to mention that the meme of autocorrect mistakes when texting somewhat backs up your experience on a larger scale. I wonder if the scale and complexity of what they’re doing now compared to last decade is the cause of the regressions, like is the problem being solved much harder by trying to factor in and autocorrect based on context, and causing worse results than pure phoneme detection?

dahart 7y ago

That does sound frustrating. I didn’t mean to discount your experience, it certainly is possible that the additional AI has made it worse for some people, especially if there’s an accent involved. Not to mention that the meme of autocorrect mistakes when texting somewhat backs up your experience on a larger scale. I wonder if the scale and complexity of what they’re doing now compared to last decade is the cause of the regressions, like is the problem being solved much harder by trying to factor in and autocorrect based on context, and causing worse results than pure phoneme detection?