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Annotations de particules de discours en français sur une large variété de corpus

Katarina Bartkova 1 Mathilde Dargnat 1 Denis Jouvet 2 Lou Lee 1 
2 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : In French, some words and expressions are frequently used as discourse particles in spoken language, especially in spontaneous speech. As the semantic meaning of such words differ whether they are used as discourse particles or not, the correct identification of their discourse function is of great importance. To study such discourse particles, as well as their prosodic correlates, a large variety of speech corpora exhibiting various degrees of spontaneity are considered. They range from prepared speech (e.g., storytelling and broadcast news) to spontaneous speech (e.g., interviews and interactions between people). This paper presents the speech corpora considered, the selection of word occurrences, the annotation of their discourse particle function, the computed prosodic features, as well as the frequency of usage of a few selected words as discourse particle on the various corpora.
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Submitted on : Monday, September 11, 2017 - 4:07:25 PM
Last modification on : Tuesday, October 25, 2022 - 4:24:58 PM


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  • HAL Id : hal-01585540, version 1


Katarina Bartkova, Mathilde Dargnat, Denis Jouvet, Lou Lee. Annotations de particules de discours en français sur une large variété de corpus . ACor4French - Les corpus annotés du français, TALN'2017 - Traitement Automatique des Langues Naturelles, Jun 2017, Orléans, France. ⟨hal-01585540⟩



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