4 ms·

You aren't joking. I took a few minutes and wrote up a bayesian engine in mathematica. I've got a pretty good start on that already, and as the IBM stuff notes

You aren't joking. I took a few minutes and wrote up a bayesian engine in mathematica. I've got a pretty good start on that already, and as the IBM stuff notes it's embarrassingly parallel. It seems to me the entire problem is parsing. If you can parse well and feed a well formed input to your data layer (and you've fed it enough data) you're golden. So who wants to build a real Q/A site based on this? Call it hal-18000.

paganel 16y ago
> So who wants to build a real Q/A site based on this? Call it hal-18000. You'd have to learn it to deal with thick accents like this one: http://www.youtube.com/watch?v=5FFRoYhTJQQ http://www.youtube.com/watch?v=5FFRoYhTJQQ . Honestly, I don't know if that's possible, no matter how much training you'd put into the machine.
- khafra 16y ago
  Natural Language Processing != Voice Recognition.
  - paganel 16y ago
    > Natural Language Processing != Voice Recognition This is what I don't get, why should be "language processing" tied to written text? Part of the answer I know, because it's easier for computers to parse, but other than that it doesn't make sense.
    - gloob 16y ago
      Speech recognition is speech recognition. Different problem entirely.