Towards Sense to Sense Linking across DBnary Languages
Since 2012, the DBnary project extracts lexical information from different Wiktionary language editions (26 editions in 2025) and makes it available to the community as queryable RDF data (modelled using the Ontolex-lemon ontology). This dataset contains more than 12M translations linking languages at the level of Lexical Entries. This paper presents an effort to automatically link the DBnary languages at the Lexical Sense level. For this, we explore different ways to compute cross-lingual semantic similarity, using multilingual language models.
Institutions
- Département mathématiques, informatique, sciences de la donnée et technologies du numérique (FR)
- Laboratoire d'Informatique de Grenoble (FR)
- Institut des langues et cultures d'Europe, Amérique, Afrique, Asie et Australie (FR)
- Université Grenoble Alpes (FR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-01
- DOI
- https://doi.org/10.5281/zenodo.17869441
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00