28 ms·

Uhhh..what? http://imgur.com/LH2Hi.png http://imgur.com/LH2Hi.png

• lgeek 16y ago
  Sorry, only supports English, German and French at the moment
  • zbanks 16y ago
    "Je t'aime" is wrongly classified as English. (Although understandable, since it's short) How does this work? You claim it has "zero language knowledge," so how does it classify? Did it start out with nothing, and then train it on a corpus? EDIT: nevermind, found your slides (http://polyglossy.com/presentation.pdf http://polyglossy.com/presentation.pdf [pdf]) How big of a corpus did you use?
    • lgeek 16y ago
      I've used around 40KB of text per language for training.
      • catch23 16y ago
        wouldn't something like 2-gram bayes be more accurate & faster?
        • lgeek 16y ago
          I don't know. I haven't really done NLP before. My guess is that it would be slower, but not by a significant amount. It might be more accurate, so I could give it a shot.
          • zbanks 16y ago
            Any chance of posting the source?
            • lgeek 16y ago
              Yeah, I'll probably push it to github later this week.
              • lgeek 16y ago
                ...and here it is: https://github.com/lgeek/polyglossy https://github.com/lgeek/polyglossy (with a slight delay because I've worked on improving the accuracy)
          • catch23 16y ago
            I don't think 2-gram bayes uses any NLP at all. To my understanding, it's just like naive bayes, but can use word combinations to improve accuracy. In terms of complexity, bayes classification is not much more than O(N).