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Word (or multi-word) prediction is a great starting place for an autocorrect model. If the keyboard I'm using knows the probability of all the possible next tok
by Me1000 3y ago
Word (or multi-word) prediction is a great starting place for an autocorrect model. If the keyboard I'm using knows the probability of all the possible next tokens I could type, then you can start making the tap targets for those keys bigger. And since the model is super cheap to run, you can replay the last n keyboard taps to simulate a different correction being made. That's at least how I'd make autocorrect better if I worked on the keyboard team.
Anecdotally, I've heard autocorrect is much better on iOS 17. But I won't update until the general release next week.
- deergomoo 3y ago> then you can start making the tap targets for those keys bigger That’s how autocorrect has worked since day one, it was just using a simpler heuristic-based prediction rather than a machine learning model.
- willis936 3y agoThat's how it should be, but as others have implied and I claim outirght: the heuristic-based prediction has been broken for years. The solution badly needed isn't a complicated black box model when we know a simple one is good enough.
- aidos 3y agoMaybe it’s better and I just need to keep typing so it can figure out what I mean. In the last couple of weeks using the beta I’ve found myself fighting it more than ever. After years of typing by tapping at the screen, I’ve switched to swiping the words in because it seems to be more reliable.