WordNetszer

WordNetszer is an independent lexical-semantic resource and research platform designed to model word senses and their relationships in a scalable graph format. It provides a structured, WordNet-like representation of lexical items that can be used for natural language processing, linguistic research, and educational purposes. WordNetszer aims to support many languages, including low-resource ones, through multilingual links and cross-language alignment.

The primary data model centers on synsets, lemmas, and glosses, with a set of semantic relations such as synonyms and antonyms, hypernyms and hyponyms, meronyms and holonyms, and entailment links. Each sense can be annotated with usage examples, part-of-speech information, frequency estimates, domain labels, and contextual disambiguation metadata. The platform emphasizes extensibility, allowing researchers to add new senses, merge duplicates, or split senses as linguistic understanding evolves.

Access is provided through a web interface and a programmatic API supporting REST and GraphQL queries, with support for data export in JSON-LD, RDF, and CSV. It also offers tooling for integration with NLP pipelines and notebooks.

Curation is community-driven and open to contributions, with automated alignment to established resources and human review for quality control. Data are released under an open license to encourage research and reuse, with versioning and provenance tracking to document changes over time.

WordNetszer is used for word sense disambiguation, cross-lingual information retrieval, lexical research, and educational tools. It remains an active project with ongoing language coverage expansion and research collaborations with linguistic departments and NLP labs.