Ancient Greek WordNet

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Available

Directors

  • Dr William Michael Short
  • Alexander Forte
  • James Tauber
  • Silvia Luraghi

Description

From project website (accessed 2020-07-23)

The Ancient Greek WordNet is an on-going collaboration between the Center for Hellenic Studies, the University of Exeter, and the University of Pavia, under the joint direction of William Michael Short, Alexander Forte, James Tauber, and Silvia Luraghi to create a comprehensive lexico-semantic database of the Greek language. It is intended to model Greek'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.

Adopting methodology from cognitive linguistics, this project also seeks to provide the lexicographical basis for the wider study of metaphor and metonymy across languages. The diachronic orientation of the database begins with the language of Mycenaean and of the Homeric epics, with planned chronological extension into the Classical, Hellenistic, and Roman periods.

This project builds on, and extends, original work carried out by Federico Boschetti, Riccardo Del Gratta and others at the Institute for Computational Linguistics “A. Zampolli”, CNR of Pisa, Italy, as well as by Harry Diakoff, under the auspices of the Alpheios Project, with Chiara Zanchi serving as technical coordinator.

API

From project website (accessed 2020-07-23)

An intuitive RESTful API makes data of the Greek WordNet easily available on the Web or in JSON format. The complete index of the WordNet is accessible at: https://greekwordnet.chs.harvard.edu/api/index/. To get information for a specific word, use: https://greekwordnet.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: https://greekwordnet.chs.harvard.edu/api.