Mise à disposition de corpus oraux interactifs : le projet TCOF (Traitement de Corpus Oraux en Français)

André, Virginie; Canut, Emmanuelle

doi:10.4000/pratiques.1597

Cited by 15 publications

(3 citation statements)

References 5 publications

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“…All the expressions studied here are extracted from the ESTER corpus (French broadcast news collected from various radio channels, about 200 hours of speech), the ETAPE corpus (debates collected from various French radio and TV channels, about 30 hours of recordings) and the TCOF corpus (about 50 hours of spontaneous, mainly conversational speech [29]) which is used to complete the extraction of some underrepresented words and expressions in ESTER and ETAP corpora.…”

Section: Corpusmentioning

confidence: 99%

“…Studies generally address DP in terms of semantic and pragmatic descriptions, from synchronic or diachronic points of view (see [31], [5], [21], [4]). Syntactic analysis is less frequent (see [9], [29], [28]), while prosodic considerations remain peripheral or too general (see [32], [10], [1]). The goal of our study is to construct a fine-grained corpus-based prosodic analysis, in order to identify possible correlations with other linguistic properties of DP.…”

Section: Introductionmentioning

confidence: 99%

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How to be a discourse particle?

Bartkova¹,

Bastien²,

Dargnat³

2016

Speech Prosody 2016

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Our study analyses some prosodic correlates of nine French words or expressions : alors, quoi, voilà, bon, ben, tu sais, vous savez, tu vois, vous voyez. Besides their general grammatical categorization as adverb, pronoun, preposition, 'introducer', adjective, adverb and sentence, these expressions are very frequently used as discourse particles (DP) in spontaneous speech. Our goal is to determine to what extent intrinsic and contextual prosodic properties are useful and sufficient to characterize their DP and non-DP functions. The expressions under study are extracted from large corpora, than a manual annotation is carried out to distinguish DP and non-DP functions and an automatic processing is applied for prosodic data extraction and labelling. This allows getting fine-grained and systematic prosodic information. Automatic classification tests of the DP functions based solely on prosodic parameters are carried out and lead to very encouraging results as correct identification ranges from 73% to more than 90%. Finally an automatic clustering procedure provides prosodically significant DP sub-classes for every studied expression.

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Section: Corpusmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How to be a discourse particle?

Bartkova¹,

Bastien²,

Dargnat³

2016

Speech Prosody 2016

View full text Add to dashboard Cite

show abstract

“…Si ce corpus n'est pas conçu en vue d'une exploitation pédagogique, il paraît tout à fait possible de pouvoir l'utiliser à cette fin. 10 Certains formateurs linguistiques ont déjà puisé, par exemple, dans le corpus TCOF (Traitement de Corpus Oraux en Français) constitué à Nancy(André & Canut, 2010) des extraits de conversations quotidiennes ou de consultations médicales pour les utiliser avec des publics migrants et/ou peu qualifiés.…”

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