The GV-LEx corpus of tales in French.

A corpus of French tales is presented. Its two parts, a text corpus and a speech corpus, were designed for studying the relationships between the textual structures of tales and speech prosody, with the targeted application of an expressive text-to-speech synthesis system embedded in a humanoid robo...

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Publicado en:Language Resources & Evaluation Vol. 49; no. 3; pp. 521 - 548
Autores principales: Doukhan, David, Rosset, Sophie, Rilliard, Albert, d'Alessandro, Christophe, Adda-Decker, Martine
Formato: Artículo
Publicado: Springer Nature Sep2015
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Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        10.1007/s10579-015-9306-7
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          Doukhan, David
          Rosset, Sophie
          Rilliard, Albert
          d'Alessandro, Christophe
          Adda-Decker, Martine
        affil: LIMSI-CNRS, Rue John von Neumann, Campus Universitaire d'Orsay, Bat. 508 91405 Orsay Cedex France
      su:
        Tale (Literary form)
        French literature
        Versification
        Humanoid robots
        Folk literature
        Education
      sug:
        subj:
          Tale (Literary form)
          French literature
          Versification
          Humanoid robots
          Folk literature
          Education
      keyword:
        Annotation scheme
        Direct quotations
        Expressivity
        Fairy tale corpus
        Inter-annotator agreement
        Intonation stylization
        Prosody
        Text-to-speech
      ab: A corpus of French tales is presented. Its two parts, a text corpus and a speech corpus, were designed for studying the relationships between the textual structures of tales and speech prosody, with the targeted application of an expressive text-to-speech synthesis system embedded in a humanoid robot. The 89-tale text corpus, and the 12-tale speech corpus were annotated using a common tale description framework. Lexical level annotations include extended definitions of enumerations, time, place and person named entities, as well as part of speech tags. Supra-lexical level annotations include the segmentation of tales into a sequence of episodes, the localization and attribution of direct quotations, together with tale protagonists co-references. Annotation distributions and inter-annotator agreement were analyzed. The largest coverage and strongest agreement were observed for person named entities, characters' direct quotations, and their associated coreference chains. Speech corpus annotations were extended to allow the analysis of the relations between tale linguistic information and prosodic properties observed in associated speech. Word and phoneme boundaries were inferred through semi-automatic procedures, resulting in linguistic annotations aligned with the speech signal. Intonation stylization models were used to ease the visual and statistical analysis of tale's prosody. Additional meta-information is provided with the speech corpus, allowing describing tale characters according to their gender, age, size, valence and kind. The corpora described in this article are publicly available through the European Language Resources Association catalog.
      pubtype: Academic Journal
      doctype: Article
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    language: English
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      custom: Language Resources & Evaluation is a copyright of Springer, 2015. All Rights Reserved.
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