Publication

English to Bangla Phrase-Based Machine Translation

Md. Zahurul Islam, Jörg Tiedemann, Andreas Eisele

In: Viggo Hansen , Francois Yvon (editor). Proceedings of the 14th Annual Conference of the European Association for Machine Translation. Annual Conference of the European Association for Machine Translation (EAMT-2010) May 27-28 St. Raphaël France Pages 237-244 EAMT 5/2010.

Abstract

Machine Translation (MT) is the task of automatically translating a text from one language to another. In this work we de- scribe a phrase-based Statistical Machine Translation (SMT) system that translates English sentences to Bangla. A translit- eration module is added to handle out- of-vocabulary (OOV) words. This is es- pecially useful for low-density languages like Bangla for which only a limited amount of training data is available. Fur- thermore, a special component for han- dling preposition is implemented to treat systematic grammatical differences be- tween English and Bangla. We have shown the improvement of our system through effective impacts on the BLEU, NIST and TER scores. The overall BLEU score of our system is 11.7 and for short sentences it is 23.3.

BanglaPaper.pdf (pdf, 157 KB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz