related topics
{language, word, form}
{theory, work, human}
{math, number, function}
{work, book, publish}
{system, computer, user}
{specie, animal, plant}
{company, market, business}
{food, make, wine}
{car, race, vehicle}
{style, bgcolor, rowspan}

WordNet is a lexical database for the English language[1]. It groups English words into sets of synonyms called synsets, provides short, general definitions, and records the various semantic relations between these synonym sets. The purpose is twofold: to produce a combination of dictionary and thesaurus that is more intuitively usable, and to support automatic text analysis and artificial intelligence applications. The database and software tools have been released under a BSD style license and can be downloaded and used freely. The database can also be browsed online. WordNet was created and is being maintained at the Cognitive Science Laboratory of Princeton University under the direction of psychology professor George A. Miller. Development began in 1985. Over the years, the project received funding from government agencies interested in machine translation. As of 2009, the WordNet team includes the following members of the Cognitive Science Laboratory: George A. Miller, Christiane Fellbaum, Randee Tengi, Pamela Wakefield, Helen Langone and Benjamin R. Haskell. WordNet has been supported by grants from the National Science Foundation, DARPA, the Disruptive Technology Office (formerly the Advanced Research and Development Activity), and REFLEX. George Miller and Christiane Fellbaum were awarded the 2006 Antonio Zampolli Prize for their work with WordNet.


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