Publikation
English to Bangla Phrase-Based Machine Translation
Md. Zahurul Islam; Jörg Tiedemann; Andreas Eisele
In: Viggo Hansen; Francois Yvon (Hrsg.). 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.
Zusammenfassung
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.