The Sanskrit WordNet is an on-going collaboration between the University of Pavia and the University of Exeter, under the joint direction of William Michael Short and Silvia Luraghi to create a comprehensive lexico-semantic database of the Sanskrit language. It is intended to model Sanskrit'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.
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|William Michael Short|
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An intuitive RESTful API makes data of the Sanskrit WordNet easily available on the Web or in JSON format. The complete index of the WordNet is accessible at: sanskritwordnet.chs.harvard.edu/api/index/. To get information for a specific word, use: sanskritwordnet.chs.harvard.edu/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.