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

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Branch: pkgsrc-2015Q1, Version: 0.24, Package name: p5-Lingua-EN-Tagger-0.24, 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:
[devel/p5-Memoize-ExpireLRU] [lang/perl5]

Master sites: (Expand)

SHA1: 5129827eeace258cfc5cdba2a7d68af53a12c958
RMD160: df16c1ee42f140d40d0439547e83a8f570e4326c
Filesize: 256.549 KB

Version history: (Expand)