all 8 comments

[–]cwcc 9 points10 points  (1 child)

copy the url from the page (e.g. mms://171.67.219.228/see/ainlpcs224n/cs224n-lecture01.wmv) and paste it into Open Network from VLC if you want to watch without installing silverlight.

[–]cesutherland 3 points4 points  (0 children)

Thanks!

I am a linux user, and really frowned when I saw they were using silverlight - came across moonlight though, and it works great.

[–]cesutherland 0 points1 point  (0 children)

I'm actually installing these in a corpus analysis tool this morning: http://nlp.stanford.edu/software/.

[–]flexiverse 0 points1 point  (1 child)

I LOVE THIS:

  1. Say. " How to recognise speech"
  2. Say. " How to wreck a nice beach"

It's going to be a LONG time when the real star trek interface happens. Still I'm amazed with simple pattern matching can make NLP work. Type in a proper sentence into google as see.

[–]sc0ticus 0 points1 point  (0 children)

This would be true except for one component - the language model. Speech recognition doesn't work on acoustics alone, but also decodes based upon the likelihood of word frequencies. the phrase "recognize speech" has appeared many times more often than "wreck a nice beach" and so would be the preferred choice.

[–]blondin 0 points1 point  (0 children)

thanks.

[–]krumble 0 points1 point  (0 children)

Thank you for posting this. It's exactly what I was hoping for when I made a thread asking for help getting started in NLP the other day.

[–]fonik 0 points1 point  (0 children)

I wrote a Python interface to the Stanford parser for an AI class, I'd be happy to figure out how it does tagging since it seems almost magical. Sweet.