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WordNet is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet's structure makes it a useful tool for computational linguistics and natural language processing.



A lexical database for the English language.


EXAMPLE #1 - Sample Query answered by WordNet being run on Princeton servers - "What is the capital of Canada?"


Wordnet RDF

Semantically Tagged glosses

Word forms from the definitions ("glosses") in WordNet's synsets are manually linked to the context-appropriate sense in WordNet. Thus, the glosses are a sense-disambiguated corpus and WordNet version 3.0 is the dictionary against which the corpus was annotated.[2]




External Links


  1. WordNet: http://wordnet.princeton.edu/
  2. Semantically Tagged glosses: http://wordnet.princeton.edu/glosstag

See Also

NLP | Language