Stanislas Oger

Université d'Avignon

Session JEP orale O4   Reconnaissance de la parole et du locuteur   Jeudi 12 Juin - 14h00 16h00

• papier 1574 Enrichissement dynamique du vocabulaire à partir du Web


• Stanislas Oger  ( Université d'Avignon)
• Georges Linarès  ( Université d'Avignon)
• Frédéric Béchet  ( Université d'Avignon)
• Pascal Nocéra  ( Université d'Avignon)
• Résumé : Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We suggest that the local context of the out-of-vocabulary words contains relevant information on the OOV words. With this information, we propose to use the Web to build locally-augmented lexicons which are used in a final local decoding pass. We first demonstrate the relevance of the Web for the OOV word retrieval. Then, different methods are proposed to retrieve the hypothesis words. Finally we present the integration of new words in the transcription process based on part-of-speech models. This technique allows to recover 7.6% of the significant OOV words and the accuracy of the system is slightly improved.
• article



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