Sorry, skip ahead to 21 minutes in that video if it doesn't skip for you. --------- Matt Taylor OS Community Flag-Bearer Numenta
On Thu, Mar 6, 2014 at 9:40 AM, Matthew Taylor <[email protected]> wrote: > Bert, > > The word SDRs in CEPT that Fluent is using have no concept of part of > speech, so I doubt you would get the right types of words in the right > places. I have done some experiments with parts of speech tagging > using the POS tags in NLTK as categories for NuPIC [1], and it does > pretty well at guessing what POS is coming next in a sentence, but > this is a very hard problem that can't be done by most humans well > either, because of the possibility of so many branches in human > speech. > > [1] http://www.youtube.com/watch?v=QNF-gONtSmA&start=1260 > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Thu, Mar 6, 2014 at 9:35 AM, Bert Frederiks <[email protected]> wrote: >> What would happen if one would feed Fluent with, say, books for children (to >> keep the task easy enough)? And then to have Fluent auto-associate from one >> word to the next? Would be very interesting. I would predict it shows >> psychotic sentences, but probably with correct syntax -- if true then this >> in itself (w/sh)ould be enough to end or change the jobs of most linguists, >> I guess. HTM is necessary but not enough for speech IMHO (if I understand >> well Jeff Hawkins thinks otherwise about this). >> >> Bert >> >> op 28-02-14 06:08, Chetan Surpur schreef: >>> >>> Hi everyone, >>> >>> I'm happy to introduce a project I've been working on this week. It's a >>> platform for language prediction, using NuPIC together with CEPT [1]. The >>> goal is to make it easy for anyone to build a language-based demo of NuPIC >>> without having to know any of the internals of the CLA or CEPT. >>> >>> In fact, I have not one, but /two/ little projects to open up to you. >>> >>> >>> The first is nupic.fluent [2], a python library. It builds off of >>> Subutai's and Matt's hackathon demos [3]. With it, you can create a model, >>> feed it a word (also called a "term"), and get a prediction for the next >>> one. It's very simple - and that's the point. >>> >>> The second is nupic.fluent.server [4], a server-based API and sample web >>> app using nupic.fluent at its core. You can use it to build a web-based demo >>> of language prediction with NuPIC, something we invited the community to >>> participate in during the last office hour [5]. >>> >>> But wait, there's more! I've hosted the Fluent server on an EC2 instance, >>> so you all can play with the Fluent web app right now. Enjoy: >>> >>> http://bit.ly/nupic-fluent >>> >>> Note that it's far from production-ready, and it may go down at any time. >>> That link is just a little taste for now; I aim to host it in a more >>> permanent place soon. >>> >>> Here is a screenshot of it in action: >>> >>> Inline image 1 >>> >>> Lastly, I invite everyone in the community to come hack on this with me; >>> it's under the same license as NuPIC. And of course, feel free to use it in >>> your demos (but be wary, it's still very early and the API might/will >>> change). >>> >>> Thanks, >>> Chetan >>> >>> [1] http://www.cept.at/ >>> [2] https://github.com/numenta/nupic.fluent >>> [3] http://numenta.org/blog/#demos >>> [4] https://github.com/numenta/nupic.fluent.server >>> [5] http://www.youtube.com/watch?v=67q75RnU58A&feature=share&t=37m16s >>> >> >> >> _______________________________________________ >> nupic mailing list >> [email protected] >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> _______________________________________________ nupic mailing list [email protected] http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
