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

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Branch: pkgsrc-2020Q4, Version: 0.31nb1, Package name: p5-Lingua-EN-Tagger-0.31nb1, 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: 17d475334228de8325e1719c1d17835bbd44849b
RMD160: 6cf4a7474d5880df48d9686478f611c73e7658b3
Filesize: 256.936 KB

Version history: (Expand)