Arabic machine transliteration using an attention-based encoder-decoder model

Hadj Ameur, MS, Meziane, F and Guessoum, A 2017, Arabic machine transliteration using an attention-based encoder-decoder model , in: 3rd International Conference on Arabic Computational Linguistics (ACLing 2017), 5-6 November 2017, Dubai, UAE. (In Press)

[img] PDF - Submitted Version
Restricted to Repository staff only

Download (649kB)
Official URL:


Transliteration is the process of converting words from a given source language alphabet to a target language alphabet, in a way that best preserves the phonetic and orthographic aspects of the transliterated words. Even though an important effort has been made towards improving this process for many languages such as English, French and Chinese, little research work has been accomplished with regard to the Arabic language. In this work, an attention-based encoder-decoder system is proposed for the task of Machine Transliteration between the Arabic and English languages. Our experiments proved the efficiency of our proposal approach in comparison to some previous research developed in this area.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Journal or Publication Title: Procedia ACLing2017
Publisher: Elsevier
Depositing User: Prof Farid Meziane
Date Deposited: 13 Sep 2017 09:41
Last Modified: 13 Sep 2017 13:34

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)


Downloads per month over past year