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

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Branch: pkgsrc-2018Q2, Version: 0.29, Package name: p5-Lingua-EN-Tagger-0.29, 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] [textproc/p5-Lingua-Stem]

Required to build:
[pkgtools/cwrappers]

Master sites: (Expand)

SHA1: 86869a886f6e0cf2cbf6e50fe66b1bedba7701c3
RMD160: a737f1c149e2ba2f66c14eda56e51c364cde98dd
Filesize: 257.761 KB

Version history: (Expand)