./textproc/p5-Lingua-EN-Tagger, Part-of-speech tagger for English natural language processing

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Branch: pkgsrc-2011Q1, Version: 0.16nb1, Package name: p5-Lingua-EN-Tagger-0.16nb1, Maintainer: pkgsrc-users

The module is a probability based, corpus-trained tagger that assigns POS
tags to English text based on a lookup dictionary and a set of probability
values. The tagger assigns appropriate tags based on conditional
probabilities - it examines the preceding tag to determine the appropriate
tag for the current word. Unknown words are classified according to word
morphology or can be set to be treated as nouns or other parts of speech.

The tagger also extracts as many nouns and noun phrases as it can, using a
set of regular expressions.


Required to run:
[www/p5-HTML-Parser] [textproc/p5-Lingua-Stem]

Master sites: (Expand)

SHA1: 3908945b39d7603df34c49045c0aefeb10615f1a
RMD160: add56f25ba3ecabd29f40e60272ef22ba94d0a28
Filesize: 256.117 KB

Version history: (Expand)