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Towards the Automatic Mining of Similes in Literary Texts

Suzanne Mpouli
Sorbonne Universités, UPMC, CNRS, LIP6 UMR 7606, Paris / Labex OBVIL, Université Paris-Sorbonne, Paris, France

Jean-Gabriel Ganascia
Sorbonne Universités, UPMC, CNRS, LIP6 UMR 7606, Paris / Labex OBVIL, Université Paris-Sorbonne, Paris, France

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Ingår i: Digital Humanities 2016. From Digitization to Knowledge 2016: Resources and Methods for Semantic Processing of Digital Works/Texts, Proceedings of the Workshop, July 11, 2016, Krakow, Poland

Linköping Electronic Conference Proceedings 126:4, s. 21--24

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Publicerad: 2016-07-08

ISBN: 978-91-7685-733-5

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

Previous studies have shown that not only similes often greatly contribute in establishing the overall tonality of a literary text, but they can also express an author’s particular view of the world. This paper presents the architecture of a system geared towards simile mining in literary texts written in English and French as well as some of its early applications.

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Referenser

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Mpouli, S., & Ganascia, J.-G. (2016b; forthcoming). Another Face of Literary Similes: A Study of Noun+Colour Term Adjectives. Selected Papers of the Corpus Linguistics in France Conference.

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