# The textproc/p5-Lingua-EN-Tagger port

## p5-Lingua-EN-Tagger-0.25 – part-of-speech tagger for EN natural language processing

## Description

    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.

WWW: http://search.cpan.org/dist/Lingua-EN-Tagger/

Categories:
  perl5 textproc

## Library dependencies

## Build dependencies

## Run dependencies

- STEM->=0.55:devel/p5-Memoize-ExpireLRU
- STEM->=0.81:textproc/p5-Lingua-Stem
- STEM->=3.20:www/p5-HTML-Tagset
- STEM->=3.45:www/p5-HTML-Parser