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simple-pos-tagger

A simple part of speech tagger.

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#Simple POS tagger A simple part of speech tagger.

#Installation The POS tagger can be installed using npm as follows:

npm install simple-pos-tagger

#Functionality The tagger can be used to complement a tagger like Wordnet which covers nouns, verbs, adjectives and adverbs. The principle of the tagger is simple: per lexical category a list (in a file) can be supplied that is used to tag words. First line of the file defines the category. Words may occur in multiple lists. The tagger accepts an array of words as input and assigns to each word of the input a list of possible categories. See below for an example.

#Usage

var Tagger = require("SimplePOSTagger");
var config_file = basedir + "data/English/lexicon.json";

new Tagger(config_file, function(tagger) {
  var sentence = ["I", "see", "the", "man", "with", "the", "telescope"];
  var tagged_sentence = tagger.tag_sentence(sentence);
  console.log(tagged_sentence);
});

Output of the tagger is:

[ [ 'I', [ 'personal_pronoun' ] ],
  [ 'see', undefined ],
  [ 'the', [ 'determiner' ] ],
  [ 'man', undefined ],
  [ 'with', [ 'preposition' ] ],
  [ 'the', [ 'determiner' ] ],
  [ 'telescope', undefined ] ]

Note that the value of untagged words is undefined. A variant of the tagger returns a chart instead of a tagged sentence (array) as shown above. This enables the tagger to recognise lexical items that cover more than one word. The chart is initialised with CYK items of the form (A, i, j).

var chart = tagger.tag_sentence(sentence);

#Configuration The lexicon files are configured in data/LANGUAGE/lexicon_files.json. Example of a configuration file for English:

[ "adverb.txt",
  "indefinite_pronoun.txt",
  "possessive_pronoun.txt",
  "relative_pronoun.txt",
  "conjunction.txt",
  "interrogative_pronoun.txt",
  "preposition.txt",
  "demonstrative_pronoun.txt",
  "particle.txt",
  "reciprocal_pronoun.txt",
  "determiner.txt",
  "personal_pronoun.txt",
  "reflexive_pronoun.txt"
]

A set of files with function words for the English and Dutch language are provided with the module.

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Package last updated on 24 Jan 2015

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