Applying a fuzzy classifier to generate Sp ToBI annotation : preliminar results
Escudero Mancebo, David (Universidad de Valladolid. Departamento de Informática)
Aguilar, Lourdes (Universitat Autònoma de Barcelona. Departament de Filologia Espanyola)
González Ferreras, César (Universidad de Valladolid. Departamento de Informática)
Cardeñoso Payo, Valentín (Universidad de Valladolid. Departamento de Informática)
Gutiérrez González, Yurena María (Universitat Autònoma de Barcelona. Departament de Filologia Espanyola)

Fecha: 2014
Resumen: One of the goals of the Glissando research project1 is to enrich a radio news corpus [1] with Sp ToBI labels. In this paper we present the application of the automatic predictions of a fuzzy classifier to speed up the labeling process. The strategy is proposed after completing the following steps: a) manual annotation of a part of the Glissando corpus with Sp ToBI labels and checking of the coherence of the labels; b) training of the automatic system; c) validation or correction of the automatic system’s predictions by a human expert. The automatic judgments of the classifier are enriched with confidence measures that are useful to represent uncertain situations concerning the label to be assigned. The main aim of the paper is to show that there exists a correspondence between the uncertain situations that are identified during an inter-transcriber experiment and the uncertain situations that the fuzzy classifier detects. Labeling time reduction encourages the use of this strategy.
Derechos: Tots els drets reservats.
Lengua: Anglès.
Documento: article ; recerca ; publishedVersion
Materia: Prosodic labeling ; Fuzzy classifier ; Sp ToBI
Publicado en: Social and Linguistic Speech Prosody. Proceedings of the 7th International Conference on Speech Prosody, Vol. 7 (2014) , p. 457-461, ISSN 2333-2042

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 Registro creado el 2019-03-06, última modificación el 2019-04-01

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