Work

Grapheme To Phoneme Conversion - An Arabic Dialect Case

Year: 2014

Type: conference-paper

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.

Source: HAL

Authors: Harrat, Salima, Meftouh, Karima, Abbas, Mourad, Smaïli, Kamel

Institution: Badji Mokhtar-Annaba University

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2557743833

FWCI: 1.937

Cites: 5

Cited by: 14

Related to: 10