Fleksy - Awesome new predictive text input method
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Re: Fleksy - Awesome new predictive text input method
#92Earlier quoted context omitted.
Patent pending kind? I doubt they are sharing it quite yet but the one beauty of patents is we'll get the entire answer once the patent isn't pending anymore. If I had to imagine though, the algorithm is just accounting for the most likely word to follow the previous wording, that could have been formed by hitting keys that were next to the ones you really hit wrong. I'd like to see how it handles my wanton throwing…
This is pretty much how the stock Android keyboard works. It's been able to spot missed keys since at least Ice Cream Sandwich - e.g. I just typed "kettrt" and it's suggesting "letter" as a correction. Since Jelly Bean it's also had some bigram support too (guesses the next word based on the previous without you typing anything). Aside from the "typing without a keyboard" part, it's not obvious from the video how Fle…
Re: Fleksy - Awesome new predictive text input method
#93For the blind - what is the advantage of a phone with a giant battery sucking screen on it in the first place?
Re: Fleksy - Awesome new predictive text input method
#94Earlier quoted context omitted.
Yes, the world is a big and poor place. But in the United States where (like other developed nations of course) people have the financial means to choose, the majority of phones sold are smartphones. And T9 is generally looked at like rotary dial.
Rubbish. Going back to September 2011 as I can't find any newer stats: http://blog.nielsen.com/nielsenwire/online_mobile/40-percent...
Re: Fleksy - Awesome new predictive text input method
#951) Computing a two-dimensional vector for each word typed, and calculating MSE against the ideal vectors for dictionary words, instead of just comparing the distance of the keys you hit to the locations of keys for dictionary words.
2) Using LSM (latent semantic mapping) to discover context and increase accuracy of #1.
Re: Fleksy - Awesome new predictive text input method
#96This… this looks and acts almost EXACTLY like the stock Android keyboard. The swipes to accept a correction and to delete a word are new, and the graphic design of the keyboard is more minimalist - but the core functionality of "spellchecks based on words you could spell with keys near the ones you actually hit" and "shows autocorrect candidates in a horizontal row above the keys" is absolutely identical. It's a sham…
I don't think the similarity to the stock Android keyboard is coincidental. The authors of this previously made Blindtype which was purchased by Google.
Re: Fleksy - Awesome new predictive text input method
#97Re: Fleksy - Awesome new predictive text input method
#98Can anyone explain how this works? Seems like total black magic to me... the dude is typing random gibberish and it still figures out the word? Then he's just tapping randomly on the screen, gibberish comes out, then turns into the word he wanted? Don't mean this to sound unintelligent, the video was just crazy. What kind of key proximity algorithms are behind this?
Patent pending kind? I doubt they are sharing it quite yet but the one beauty of patents is we'll get the entire answer once the patent isn't pending anymore. If I had to imagine though, the algorithm is just accounting for the most likely word to follow the previous wording, that could have been formed by hitting keys that were next to the ones you really hit wrong. I'd like to see how it handles my wanton throwing…
Getting fancy, one could use the results to train the system, fine tuning the probabilities as it goes. In this way, it doesn't matter where you type (or even the spacial relationship of the "keys"), as long as the location you use for each letter averages out to be reasonably consistent. In time the system will train itself to so English words come out, meaning the key mappings are probably correct.
For example, one could start typing "QWERTY" style, change to typing "Dvorak" and the system would put out gibberish for a while, then start putting out English again as the probabilities converged.