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

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Branch: pkgsrc-2017Q3, Version: 0.28nb1, Package name: p5-Lingua-EN-Tagger-0.28nb1, 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] [www/p5-HTML-Tagset] [devel/p5-Memoize-ExpireLRU] [lang/perl5] [textproc/p5-Lingua-Stem]

Master sites: (Expand)

SHA1: b99750e73513cc8702aded1e27209e92f48ae559
RMD160: 0d5c7f8372062f7cff8c76f62b92445492f5dc04
Filesize: 256.779 KB

Version history: (Expand)