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

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Branch: pkgsrc-2015Q2, Version: 0.25nb1, Package name: p5-Lingua-EN-Tagger-0.25nb1, 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: 0b402b1e8870aa13f1892b4f4e11d12f9fe06fcf
RMD160: 018b711d26ad37024fa33dee89ce5d7cfb9e74bf
Filesize: 256.652 KB

Version history: (Expand)