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

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Branch: pkgsrc-2019Q1, Version: 0.30, Package name: p5-Lingua-EN-Tagger-0.30, 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:
[lang/perl5]

Master sites: (Expand)

SHA1: 7ad7e65ac61f0330cf2ab7b138907eca6ffe7a90
RMD160: 8de91a2b2c24dc9258a0a3e8a9145e0d86ca66af
Filesize: 257.12 KB

Version history: (Expand)