Open maamursu opened 2 months ago
Swipe typing in general seems pretty poor:
it doesnt support hinglish too (it should remeber the words that has been typed often and it should make it its context while swipe typeing)
(just a suggestion)
I've also noticed swipe seeming to favor acronyms, proper names, and obscure words. For example, I constantly get "Anna" when I try to swipe "and". But my programmer's instinct is that it's not actually favoring these weird words. The "best match" algorithm is probably giving zero weight to how common the possible matches are in the current language or document, and giving you the dictionary word that is strictly the best match for the input regardless of how strange of a word it is.
this is why I usually blacklist some of the weird town names and such that come in place of common words. After a few months you ge trid of the annoying ones, haha
On Thu, 4 Jul 2024 at 22:46, Kevin Krumwiede @.***> wrote:
I've also noticed swipe seeming to favor acronyms, proper names, and obscure words. For example, I constantly get "Anna" when I try to swipe "and". But my programmer's instinct is that it's not actually favoring these weird words. The "best match" algorithm is probably giving zero weight to how common the possible matches are in the current language or document, and giving you the dictionary word that is strictly the best match for the input regardless of how strange of a word it is.
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I have been using swype typing for a decade, and know the qwerty layout by heart. On MS swift key I can dance through the letters of a word very fast, with a few tricks to emphasize the letters to the algo. Those being making arcs from letter to another instead of a straight line when letters line up Making a tiny loop above wanted character Short pause over wanted character. Sadly I feel like making a pause is the only reliable way here, but it is the slowest option and at times I feel like tap typing might he just as fast especially with short words. A good example of my issue is typing "our" fast - all 3 letters are on the same row, and without actually stopping over "u" I usually don't even get "our" in the suggestions unless it is very obvious by context. So I hope that the algo could be trained to recognise these cues Better..?