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authorChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-10-02 00:19:43 -0400
committerChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-10-02 00:19:43 -0400
commite26434979adc33bd949566ba7bf02dff64e80a3e (patch)
treed1c72495e3af6301bd28e7e66c42de0c7a944d1f /phrasinator/README
parent0870d4a1f5e14cc7daf553b180d599f09f6614a2 (diff)
cdec cleanup, remove bayesian stuff, parsing stuff
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-The "phrasinator" uses a simple Bayesian nonparametric model to segment
-text into chunks. The inferred model is then saved so that it can rapidly
-predict segments in new (but related) texts.
-
- Input will be a corpus of sentences, e.g.:
-
- economists have argued that real interest rates have fallen .
-
- The output will be a model that, when run with cdec, will produce
- a segmentation into phrasal units, e.g.:
-
- economists have argued that real_interest_rates have fallen .
-
-
-To train a model, run ./train-phrasinator.pl and follow instructions.
-