Étude quantitative des disfluences dans le discours de schizophrènes : automatiser pour limiter les biais

Maxime Amblard 1 Karen Fort 1
1 SEMAGRAMME - Semantic Analysis of Natural Language
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : We present in this article the results of experiments we led concerning disfluencies in the discourse of schizophrenic patients (in remediation). These experiments are part of a larger study dealing with other levels of linguistic analysis, that could eventually help identifying clues leading to the diagnostic of the disease. This study largely relies on natural language processing tools, which allow for the rapid processing of massive textual data (here, more than 375,000 words). The first phase of the study, which we present here, confirmed the correlation between schizophrenia and the number of disfluences appearing in the discourse.
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Maxime Amblard, Karen Fort. Étude quantitative des disfluences dans le discours de schizophrènes : automatiser pour limiter les biais. TALN - Traitement Automatique des Langues Naturelles, Jul 2014, Marseille, France. pp.292-303. ⟨hal-01054391⟩

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