Une mesure d'intérêt à base de surreprésentation pour l'extraction des motifs syntaxiques stylistiques

Abstract : In this contribution, we present a computational stylistic study of the French classic literature texts based on a data- driven approach where discovering interesting linguistic patterns is done without any prior knowledge. We propose an objective measure capable of capturing and extracting meaningful stylistic syntactic patterns from a given author’s work. Our hypothesis is based on the fact that the most relevant syntactic patterns should significantly reflect the author’s stylistic choice and thus they should exhibit some kind of overrepresentation behavior controlled by the author’s purpose. The analysed results show the effectiveness in extracting interesting syntactic patterns from classic French literary text, and seem particularly promising for the analyses of such particular text.
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https://hal.sorbonne-universite.fr/hal-01198409
Contributor : Mohamed Amine Boukhaled <>
Submitted on : Saturday, September 12, 2015 - 2:40:58 PM
Last modification on : Thursday, March 21, 2019 - 2:44:49 PM
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  • HAL Id : hal-01198409, version 1

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Mohamed-Amine Boukhaled, Francesca Frontini, Jean-Gabriel Ganascia. Une mesure d'intérêt à base de surreprésentation pour l'extraction des motifs syntaxiques stylistiques. 22ème Conférence sur le Traitement Automatique des Langues Naturelles, Jun 2015, Caen, France. ⟨hal-01198409⟩

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