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Génération des prononciations de noms propres à l'aide des champs aéatoires conditionnels

Irina Illina 1 Dominique Fohr 1 Denis Jouvet 1 
1 PAROLE - Analysis, perception and recognition of speech
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : We propose an approach to grapheme-to-phoneme conversion for proper names based on a probabilistic method: Conditional Random Fields (CRFs). CRFs give a long term prediction, assume a relafex state independence condition and allow a tag integration. In previous work, grapheme-to-phoneme conversion using CRF has been proposed for non proper names and different CRF features are studied. In this paper, we extend this work to proper names. Moreover, we propose an algorithm for origine detection of proper names of foreign origins. The proposed system is validated on two pronunciation dictionaries. Our approach compares favorably with the performance of the state-of-the-art Joint-Multigram Models and takes advantage of the knowledge of the origin of the proper name.
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Contributor : Denis Jouvet Connect in order to contact the contributor
Submitted on : Monday, November 19, 2012 - 10:46:16 AM
Last modification on : Saturday, June 25, 2022 - 7:40:33 PM


  • HAL Id : hal-00753381, version 1


Irina Illina, Dominique Fohr, Denis Jouvet. Génération des prononciations de noms propres à l'aide des champs aéatoires conditionnels. JEP-TALN-RECITAL 2012, Jun 2012, Grenoble, France. ⟨hal-00753381⟩



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