Demonette2 - Une base de données dérivationnelles du français à grande échelle : premiers résultats

Abstract : This paper presents the design and development of Demonette2, a large-scale derivational database of French, developed as part of the ANR Démonext project (ANR-17-CE23-0005). It describes the objectives of the project, the structure of the database and presents the first results of the project, focusing on the question of the semantic encoding of lexical units and their relationships.
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https://halshs.archives-ouvertes.fr/halshs-02275652
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Submitted on : Sunday, September 1, 2019 - 11:56:57 AM
Last modification on : Thursday, October 24, 2019 - 9:01:09 AM

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Fiammetta Namer, Lucie Barque, Olivier Bonami, Pauline Haas, Nabil Hathout, et al.. Demonette2 - Une base de données dérivationnelles du français à grande échelle : premiers résultats. TALN, Jul 2019, Toulouse, France. ⟨halshs-02275652⟩

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