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A Peculiarity-based Exploration of Syntactical Patterns: a Computational Study of Stylistics

Abstract : In this contribution, we present a computational stylistic study and comparison of classic French literary 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 peculiar overrepre-sentation behavior controlled by the author's purpose with respect to a linguistic norm. The analyzed results show the effectiveness in extracting interesting syntactic patterns from novels, and seem particularly promising for the analysis of such particular texts.
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Contributor : Mohamed Amine Boukhaled Connect in order to contact the contributor
Submitted on : Saturday, September 12, 2015 - 2:57:54 PM
Last modification on : Monday, March 29, 2021 - 2:47:31 PM
Long-term archiving on: : Tuesday, December 29, 2015 - 12:54:41 AM


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  • HAL Id : hal-01198413, version 1


Mohamed-Amine Boukhaled, Francesca Frontini, Jean-Gabriel Ganascia. A Peculiarity-based Exploration of Syntactical Patterns: a Computational Study of Stylistics. Workshop on Interactions between Data Mining and Natural Language Processing DMNLP'15 ECML/PKDD 2015 Workshop, Sep 2015, Porto, Portugal. pp.31-40. ⟨hal-01198413⟩



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