Génération des prononciations de noms propres à l'aide des champs aéatoires conditionnels
Identifieur interne : 001B21 ( Main/Merge ); précédent : 001B20; suivant : 001B22Génération des prononciations de noms propres à l'aide des champs aéatoires conditionnels
Auteurs : Irina Illina [France] ; Dominique Fohr [France] ; Denis Jouvet [France]Source :
Descripteurs français
- mix :
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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Hal:hal-00753381Le document en format XML
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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="IdRef">02636817X</idno><idno type="ISNI">0000000122597504</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Jouvet, Denis" sort="Jouvet, Denis" uniqKey="Jouvet D" first="Denis" last="Jouvet">Denis Jouvet</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-205127" status="OLD"><idno type="RNSR">200118295L</idno><orgName>Analysis, perception and recognition of speech</orgName><orgName type="acronym">PAROLE</orgName><date type="end">2014-06-30</date><desc><address><country key="FR"></country></address><ref type="url">http://www.inria.fr/equipes/parole</ref></desc><listRelation><relation active="#struct-129671" type="direct"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-423086" type="direct"></relation><relation active="#struct-206040" type="indirect"></relation><relation active="#struct-413289" type="indirect"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation></listRelation><tutelles><tutelle active="#struct-129671" type="direct"><org type="laboratory" xml:id="struct-129671" status="VALID"><idno type="RNSR">198618246Y</idno><orgName>INRIA Nancy - 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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="IdRef">02636817X</idno><idno type="ISNI">0000000122597504</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>champs aléatoires conditionnels (CRF)</term><term>noms propres</term><term>phonétisation du lexique</term><term>reconnaissance de la parole</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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