Difference between revisions of "Lexicons (English)"
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| − | == English | + | == English == |
* [http://clipdemos.umiacs.umd.edu/catvar/ Catvar 2.0: The Categorial Variation Database] - for example, the ''developing'' cluster: {''develop'' (V), ''developer'' (N), ''developed'' (AJ), ''developing'' (N), ''developing'' (AJ), ''development'' (N)} | * [http://clipdemos.umiacs.umd.edu/catvar/ Catvar 2.0: The Categorial Variation Database] - for example, the ''developing'' cluster: {''develop'' (V), ''developer'' (N), ''developed'' (AJ), ''developing'' (N), ''developing'' (AJ), ''development'' (N)} | ||
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* [http://www.signiform.com/tt/htm/tt.htm ThoughtTreasure] | * [http://www.signiform.com/tt/htm/tt.htm ThoughtTreasure] | ||
| − | === WordNet | + | === WordNet === |
* [http://xwn.hlt.utdallas.edu/ eXtended WordNet] - glosses are syntactically parsed, transformed into logic forms, and content words are semantically disambiguated | * [http://xwn.hlt.utdallas.edu/ eXtended WordNet] - glosses are syntactically parsed, transformed into logic forms, and content words are semantically disambiguated | ||
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* [http://tcc.itc.it/research/textec/topics/disambiguation/wordnetdomains.html WordNet Domains] - augmented with Domain Labels, such as POLITICS, ECONOMY, SPORT | * [http://tcc.itc.it/research/textec/topics/disambiguation/wordnetdomains.html WordNet Domains] - augmented with Domain Labels, such as POLITICS, ECONOMY, SPORT | ||
| − | == Multilingual | + | == Multilingual == |
* [http://www.csse.monash.edu.au/~jwb/edict_doc.html JMdict: Japanese-Multilingual Dictionary file] | * [http://www.csse.monash.edu.au/~jwb/edict_doc.html JMdict: Japanese-Multilingual Dictionary file] | ||
Revision as of 14:21, 2 November 2006
English
- Catvar 2.0: The Categorial Variation Database - for example, the developing cluster: {develop (V), developer (N), developed (AJ), developing (N), developing (AJ), development (N)}
- General Inquirer
- LCS Database: Lexical Conceptual Structures
- Moby lexicon project
- ThoughtTreasure
WordNet
- eXtended WordNet - glosses are syntactically parsed, transformed into logic forms, and content words are semantically disambiguated
- SentiWordNet - assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity
- WordNet - the original
- WordNet Domains - augmented with Domain Labels, such as POLITICS, ECONOMY, SPORT