Developing language resources for English machine translation
Abstract
We developed English-Bangla parallel corpora for statistical machine
translation. By hand we tagged 20,000 words of our Bangla corpus according to their
particular part of speeches. In our work we also suggested a method for identifying
word correspondence in parallel English-Bangla text using a translation model based
on part of speech and n-gram model.