BabelNet
BabelNet is a multilingual lexicalized semantic network and ontology developed at the Sapienza University of Rome. It integrates lexicographic and encyclopedic knowledge from WordNet and Wikipedia in various languages.
multilingual
semantic-network
ontology
lexical
encyclopedic
BabelNet: Multilingual Lexicalized Semantic Network & Ontology
Multilingual lexicalized semantic network and ontology integrating lexicographic and encyclopedic knowledge from WordNet and Wikipedia in various languages.
What is BabelNet?
BabelNet is a multilingual lexicalized semantic network and ontology developed at the Sapienza University of Rome. It integrates lexicographic and encyclopedic knowledge from WordNet and Wikipedia in various languages.
BabelNet connects concepts and named entities in a very large network of semantic relations, made up of more than 9 million entries, covering 284 languages. This allows it to provide a wide coverage of linguistic and world knowledge.
Some of the key features and applications of BabelNet include:
- Multilingual semantic network integrating lexicographic and encyclopedic knowledge
- Covers many languages and connects them through an Interlingua
- Provides a large inventory of concepts and named entities
- Supports word sense disambiguation and entity linking
- Enables semantic similarity calculations between concepts and texts
- Useful for natural language processing, artificial intelligence, and semantic web applications
Overall, BabelNet is a unique resource that brings the understanding of text meaning to a new level across different languages. It enables computers to access the meanings behind words and tackle semantic challenges in AI systems.
BabelNet Features
Features
- Multilingual semantic network
- Integrates knowledge from WordNet and Wikipedia
- Provides both semantic and encyclopedic knowledge
- Covers hundreds of languages
- Contains millions of concepts and named entities
- Enables multilingual natural language processing tasks
Pricing
- Free
- Open Source
Pros
Very broad lexical and semantic coverage
Integrates multiple knowledge sources
Enables cross-lingual applications
Freely available for research
Cons
Not as frequently updated as original sources
Coverage uneven across languages
Semantic relations may be noisy
Official Links
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