Babelnet

SEARCH, TRANSLATE, LEARN!

About

BabelNet is both a multilingual encyclopedic dictionary, with lexicographic and encyclopedic coverage of terms, and a semantic network which connects concepts and named entities in a very large network of semantic relations, made up of about 16 million entries, called Babel synsets. Each Babel synset represents a given meaning and contains all the synonyms which express that meaning in a range of different languages.

BabelNet 4.0 covers 284 languages and is obtained from the automatic integration of:

WordNet, a popular computational lexicon of English (version 3.0).
Wikipedia, the largest collaborative multilingual Web encyclopedia (February 2018 dump).
OmegaWiki, a large collaborative multilingual dictionary (January 2017 dump).
Wiktionary, a collaborative project to produce a free-content multilingual dictionary (February 2018 dump).
Wikidata, a free knowledge base that can be read and edited by humans and machines alike (February 2018 dump).
Wikiquote, a free online compendium of sourced quotations from notable people and creative works in every language (March 2015 dump).
VerbNet, a Class-Based Verb Lexicon (version 3.2).
Microsoft Terminology, a collection of terminologies that can be used to develop localized versions of applications (July 2015 dumps).
GeoNames, a free geographical database covering all countries and containing over eight million placenames (April 2015 dump).
ImageNet, an image database organized according to the WordNet hierarchy (2011 release).
FrameNet, a lexical database of English that is both human- and machine-readable (version 1.6).
WN-Map, automatically generated mappings among WordNet versions (2007 release).
Open Multilingual WordNet, a collection of wordnets available in different languages (downloaded in January 2017): WoNeF, Albanet, Arabic WordNet (AWN v2), BulTreeBank WordNet (BTB-WN), Chinese Open WordNet, Chinese WordNet (Taiwan), DanNet, Greek WordNet, Princeton WordNet, Persian WordNet, FinnWordNet, WOLF (WordNet Libre du Français), Hebrew WordNet, Croatian WordNet, IceWordNet, MultiWordNet, ItalWordNet, Japanese WordNet, Multilingual Central Repository, WordNet Bahasa, Open Dutch WordNet, Norwegian WordNet, plWordNet, OpenWN-PT, Romanian WordNet, Lithuanian WordNet, Slovak WordNet, sloWNet, Swedish (SALDO), Thai WordNet

Additionally, it contains translations obtained from sense-annotated sentences. The correctness of the WordNet-Wikipedia mapping in BabelNet 3.6 has been estimated at around 91% on open-text words.

BabelNet is fully integrated with:

Babelfy: a state-of-the-art multilingual disambiguation and entity linking system.
Wikipedia Bitaxonomy: a state-of-the-art taxonomy of Wikipedia pages aligned to a taxonomy of Wikipedia categories.

BabelNet is provided as a stand-alone resource with its Java API, a SPARQL endpoint and a Linked Data interface as part of the Linguistic Linked Open Data Cloud (LLOD Cloud) cloud.

This website provides:

a web interface for looking up terms, translations and definitions and for browsing the BabelNet semantic network,
statistics, a bibliography and a download page.

Photo of the META-NET 2015 prize ceremony in Riga, Latvia.

Video of the META prize 2015 awarded to Roberto Navigli and his team for BabelNet.

eLex invited talk by prof. Roberto Navigli on BabelNet, Babelfy and Beyond.

Credits

Concept: Roberto Navigli
Web application design: Babelscape
Programming: Francesco Cecconi, Francesco Elia, Tiziano Flati, Roberto Navigli, Simone Ponzetto, Daniele Vannella
BabelNet domains: José Camacho Collados
Logo: Lorenzo Ceccotti

ResponsiveVoice-NonCommercial licensed under

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 the BabelNet Non-Commercial License limited to research institutions. BabelNet is now a self-sustained project. It is, and always will be, free for research purposes, including download. Babelscape is BabelNet's commercial support arm: it offers professional solutions for multilingual Natural Language Processing, thanks to which the BabelNet project will be continued and improved over time. You are using BabelNet v4.0

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: