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Grapheme To Phoneme Conversion - An Arabic Dialect Case

Salima Harrat 1 Karima Meftouh 2 Mourad Abbas 3 Kamel Smaïli 4 
ENS Bouzaréah-Alger - École normale supérieure - Bouzaréah-Alger
2 Université d'Annaba
LRI-ANNABA - Laboratoire de Recherche en Informatique
CRSTDLA - Centre de Recherche Scientifique et Technique pour le Dévelopement de la Langue Arabe
4 SMarT - Statistical Machine Translation and Speech Modelization and Text
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : 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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Submitted on : Monday, September 22, 2014 - 5:55:49 PM
Last modification on : Saturday, October 16, 2021 - 11:26:09 AM
Long-term archiving on: : Tuesday, December 23, 2014 - 11:50:50 AM


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  • HAL Id : hal-01067022, version 1



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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