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

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Branch: pkgsrc-2014Q1, Version: 0.23, Package name: p5-Lingua-EN-Tagger-0.23, 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.

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SHA1: d4273fac8565737f382189d8e76b118e18c1d67a
RMD160: a24c8cba7184456493bee80d0695d453e167280d
Filesize: 256.538 KB

Version history: (Expand)