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).
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.