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    <abstract>After providing a brief introduction to the transliteration problem, and highlighting some issues specific to Arabic to English translation, a three phase algorithm is introduced as a computational solution to the problem. The algorithm is based on a Hidden Markov Model approach, but also leverages information available in on-line databases. The algorithm is then evaluated, and shown to achieve accuracy approaching .80%</abstract>
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%0 Conference Proceedings
%T Automatic Transliteration of Proper Nouns from Arabic to English
%A Kashani, Mehdi M.
%A Popowich, Fred
%A Sadat, Fatiha
%S Proceedings of the International Conference on the Challenge of Arabic for NLP/MT
%D 2006
%8 oct 23
%C London, UK
%F kashani-etal-2006-automatic
%X After providing a brief introduction to the transliteration problem, and highlighting some issues specific to Arabic to English translation, a three phase algorithm is introduced as a computational solution to the problem. The algorithm is based on a Hidden Markov Model approach, but also leverages information available in on-line databases. The algorithm is then evaluated, and shown to achieve accuracy approaching .80%
%U https://aclanthology.org/2006.bcs-1.7/
%P 76-83

Markdown (Informal)

[Automatic Transliteration of Proper Nouns from Arabic to English](https://aclanthology.org/2006.bcs-1.7/) (Kashani et al., BCS 2006)

• Automatic Transliteration of Proper Nouns from Arabic to English (Kashani et al., BCS 2006)

ACL

• Mehdi M. Kashani, Fred Popowich, and Fatiha Sadat. 2006. Automatic Transliteration of Proper Nouns from Arabic to English. In Proceedings of the International Conference on the Challenge of Arabic for NLP/MT, pages 76–83, London, UK.