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Hey timtadh! Spritz Inc's blog (http://www.spritzinc.com/blog/ http://www.spritzinc.com/blog/) has some interesting things to say about word recognition, primar

by pkghost 13y ago

Hey timtadh! Spritz Inc's blog (http://www.spritzinc.com/blog/ http://www.spritzinc.com/blog/) has some interesting things to say about word recognition, primarily that it's related to a word's unique shape more than length. Words that are less than 4 characters long are actually harder to recognize due to their having more visual analogues than longer words, and words over 7 characters are start looking "long" more than any other shape characteristic. I've got some ideas about how to incorporate this into my app without doing a bunch of image processing, so, until then, keep your eyes peeled ;) Thanks for the feedback!

sirclueless 13y ago
That may be true for familiar words, but a long, uncommon word is unavoidably going to take more processing. Flashing "unforgettable" is probably fine, but I'd want a split second pause on "periodontia" or "imbroglie".
- wavesounds 13y ago
  I agree, If the app could maintain a frequency table containing how common words are in normal usage and slow down more for the most uncommon words that would be awesome. Until then slowing down for longer words at least would definitely help. This could at least be an option if the authors aren't convinced its a good idea yet, then A/B test the amount of usage for people who use the option compared with those that don't.
- pkghost 13y ago
  This is a great observation. After reading Spritz' blog post, I've been thinking about using word shape uniqueness as the main signal for how long to pause--i.e., "soliloquy" would be quite unique thanks to its ascenders and descenders, whereas "excessive" is less unique, owing to its relatively featureless outline. Combining shape with word frequency (across language) seems even more promising.
  - nopasswordreset 13y ago
    I'm not sure ascenders and descenders are the only things factoring in here. I guess doing a visual blur on an image of a word could help to spot characteristics of words. Admittedly, the ascenders and descenders would have a probably primary role in aiding classifying. So maybe it's an 80%/20% thing. At a guess words with unique clusters of vowels would also stand out say 'Hawaiian'. Or other words like 'cameraman', 'minimum', 'consciousness', 'neuroscience', that all probably have a certain shape or density, even if they are flat. This regex dictionary may be useful: http://www.visca.com/regexdict/ http://www.visca.com/regexdict/ /^[aeiuocmnrsvwxz]*$/

by pkghost 13y ago

sirclueless 13y ago

That may be true for familiar words, but a long, uncommon word is unavoidably going to take more processing. Flashing "unforgettable" is probably fine, but I'd want a split second pause on "periodontia" or "imbroglie".

wavesounds 13y ago
I agree, If the app could maintain a frequency table containing how common words are in normal usage and slow down more for the most uncommon words that would be awesome. Until then slowing down for longer words at least would definitely help. This could at least be an option if the authors aren't convinced its a good idea yet, then A/B test the amount of usage for people who use the option compared with those that don't.
pkghost 13y ago
This is a great observation. After reading Spritz' blog post, I've been thinking about using word shape uniqueness as the main signal for how long to pause--i.e., "soliloquy" would be quite unique thanks to its ascenders and descenders, whereas "excessive" is less unique, owing to its relatively featureless outline. Combining shape with word frequency (across language) seems even more promising.
- nopasswordreset 13y ago
  I'm not sure ascenders and descenders are the only things factoring in here. I guess doing a visual blur on an image of a word could help to spot characteristics of words. Admittedly, the ascenders and descenders would have a probably primary role in aiding classifying. So maybe it's an 80%/20% thing. At a guess words with unique clusters of vowels would also stand out say 'Hawaiian'. Or other words like 'cameraman', 'minimum', 'consciousness', 'neuroscience', that all probably have a certain shape or density, even if they are flat. This regex dictionary may be useful: http://www.visca.com/regexdict/ http://www.visca.com/regexdict/ /^[aeiuocmnrsvwxz]*$/