BabelNet
BabelNet is a multilingual lexical-semantic knowledge graph, ontology and encyclopedic dictionary developed at the NLP group of the Sapienza University of Rome under the supervision of Roberto Navigli. BabelNet was automatically created by linking Wikipedia to the most popular computational lexicon of the English language, WordNet. The integration is done using an automatic mapping and by filling in lexical gaps in resource-poor languages by using statistical machine translation. The result is an encyclopedic dictionary that provides concepts and named entities lexicalized in many languages an
Key facts
- Software.name
- BabelNet
- Software.logo
- 140px|BabelNet logo
- Software.latest_release_version
- BabelNet 5.3
- Software.latest_release_date
- December 2023
- Software.license
- Attribution-NonCommercial-ShareAlike 3.0 Unported
via Wikipedia infobox
Official website
BabelNet | The largest multilingual encyclopedic dictionary and semantic network
BabelNet is both a multilingual encyclopedic dictionary, with lexicographic and encyclopedic coverage of terms in 500 languages, and a semantic network which connects concepts and named entities in a very large network of semantic relations, made up of more than 20 million entries.
babelnet.org →Link to the official site · 13,233 chars · not written by Vinony
Described at
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BabelNet is an innovative multilingual encyclopedic dictionary, with wide lexicographic and encyclopedic coverage of terms, and a semantic network/ontology which connects concepts and named entities in a very large network of semantic relations, made up of about 23 million entries. Conceived within the Sapienza NLP Group, engineered and maintained by Babelscape, BabelNet follows the WordNet model based on the notion of synset (for synonym set), but extends it to contain multilingual lexicalizations. Each BabelNet synset represents a given meaning and contains all the synonyms which express that meaning in a range of different languages.
~3 min read
Article
6 sectionsContents
- Statistics of BabelNet
- Applications
- Prizes and acknowledgments
- See also
- References
- External links
BabelNet is a multilingual lexical-semantic knowledge graph, ontology and encyclopedic dictionary developed at the NLP group of the Sapienza University of Rome under the supervision of Roberto Navigli. BabelNet was automatically created by linking Wikipedia to the most popular computational lexicon of the English language, WordNet. The integration is done using an automatic mapping and by filling in lexical gaps in resource-poor languages by using statistical machine translation. The result is an encyclopedic dictionary that provides concepts and named entities lexicalized in many languages and connected with large amounts of semantic relations. Additional lexicalizations and definitions are added by linking to free-license wordnets, OmegaWiki, the English Wiktionary, Wikidata, FrameNet, VerbNet and others. Similarly to WordNet, BabelNet groups words in different languages into sets of synonyms, called Babel synsets. For each Babel synset, BabelNet provides short definitions (called glosses) in many languages harvested from both WordNet and Wikipedia.
thumb|600px|BabelNet is a multilingual semantic network obtained as an integration of WordNet and Wikipedia.