BabelNet
BabelNet is a multilingual lexicalized semantic network and ontology developed at the Sapienza University of Rome, at the Department of Computer Science Linguistic Computing Laboratory.
BabelNet
BabelNet is a multilingual lexicalized semantic network and ontology developed at the Sapienza University of Rome, at the Department of Computer Science Linguistic Computing Laboratory.
BabelNet
BabelNet, est un réseau sémantique multilingue et une ontologie lexicalisée.
BabelNet
BabelNet is a multilingual lexicalized semantic network and ontology developed at the Sapienza University of Rome, at the Department of Computer Science Linguistic Computing Laboratory.
BabelNet
BabelNet
BabelNet is a multilingual lexicalized semantic network and ontology developed at the Sapienza University of Rome, at the Department of Computer Science Linguistic Computing Laboratory.
BabelNet
BabelNet
BabelNet è una rete semantica multilingue e un'ontologia lessicalizzata.
BabelNet
BabelNet is a multilingual lexicalized semantic network and ontology developed at the Sapienza University of Rome, at the Department of Computer Science Linguistic Computing Laboratory.
BabelNet
BabelNet
BabelNet es una red semántica multilingüe y una ontología lexicalizada.[1][2] BabelNet ha sido creada automáticamente integrando la mayor enciclopedia web multilingüe, Wikipedia, a la base de datos léxica más reconocida del idioma inglés, WordNet.
Translations
Sources
BabelNet terms
Wikipedia redirections
Categories
Wikipedia categories
BabelNet has received funding from the European Research Council (ERC) under grant agreement No. 259234. Concept and design by Roberto Navigli.
BabelNet and its API are licensed under a Creative Commons Attribution-Non Commercial-Share Alike 3.0 License. BabelNet is now a self-sustained project with Babelscape as its commercial support arm, thanks to which the project will be continued and improved over time.
You are using BabelNet live 
BabelNet won the Prominent Paper Award 2017 from Artificial Intelligence, the most prestigious journal in the field of AI. This year the award selected the best article published in 2009-2016. The paper, authored by Roberto Navigli and Simone Paolo Ponzetto, presents the algorithmic techniques for creating and evaluating the BabelNet multilingual semantic network. Reference paper.
BabelNet covers 284 languages from all continents, including:
- Afrikaans
- Arabic
- Chinese
- English
- French
- German
- Greek
- Hebrew
- Hindi
- Italian
- Japanese
- Korean
- Portuguese
- Punjabi
- Russian
- Spanish
- Swedish
- Tagalog
- Turkish
- and more...
BabelNet contains 15 243 400 synsets (i.e., entries), e.g.:
