Communication Dans Un Congrès Année : 2014

Grapheme To Phoneme Conversion - An Arabic Dialect Case

Salima Harrat
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Karima Meftouh
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  • PersonId : 929495
Mourad Abbas
  • Fonction : Auteur
  • PersonId : 950687

Résumé

We aim to develop a speech translation system between Modern Standard Arabic and Algiers dialect. Such a system must include a Text-to-Speech module which itself must include a grapheme-phoneme converter. Algiers dialect is an Arabic dialect concerned by the most problems of Modern Standard Arabic in NLP area. Furthermore, it could be considered as an under-resourced language because it is a vernacular language for which no substantial corpus exists. In this paper we present a grapheme-to-phoneme converter for this language. We used a rule based approach and a statistical approach, we got an accuracy of 92% VS 85% despite the lack of resource for this language.

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Dates et versions

hal-01067022 , version 1 (22-09-2014)

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  • HAL Id : hal-01067022 , version 1

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Salima Harrat, Karima Meftouh, Mourad Abbas, Kamel Smaïli. Grapheme To Phoneme Conversion - An Arabic Dialect Case. Spoken Language Technologies for Under-resourced Languages, May 2014, Saint Petesbourg, Russia. ⟨hal-01067022⟩
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