The Latin WordNet is an on-going project of the University of Exeter, under the direction of William Michael Short, to create a comprehensive lexico-semantic database of the Latin language. It is intended to model Latin's semantic system as fully and accurately as possible, in a form that is machine-interpretable and machine-actionable, and thus suitable to NLP applications of different kinds, especially in the area of natural language understanding.
This joint project builds on, and extends, the original Latin WordNet developed as part of the Fondazione Bruno Kessler's MultiWordNet project, by including over 70,000 words covering archaic to medieval Latin. In collaboration with the University of Genoa, the WordNet is also being extended to capture rich information about the figurative usage of words, as well as to represent large-scale metaphorical patterns that structure meaning throughout Latin's semantic system (Lexicon Translaticium Latinum). Where possible, morphological data has been checked against LEMLAT3 (see Passarotti et al. 2017), and the database is now bein galigned with the LiLa Project. The data of the Latin WordNet is made available under a Creative Commons Attribution-ShareAlike 4.0 International license. and can be found on GitHub.
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|Dr William Michael Short|
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An intuitive RESTful API makes data of the Latin WordNet easily available on the Web or in JSON format. The complete index of the WordNet is accessible at: latinwordnet.ex.ac.uk/api/index/. To get information for a specific word, use: latinwordnet.ex.ac.uk/api/lemmas/<lemma>/<pos>/<morpho>, where <morpho> is an optional string specifying the morphological characteristics of the lemma. Lemmatization and translation services are also available. Click 'API' to view the complete API reference.