Myanmar Phrase Translation for Myanmar-English Machine Translation System

Abstract

In statistical machine translation (SMT), the currently best performing systems are based in some way on phrases or word groups. In this paper, phrase-based translation system is described. Translation model and word-based lexicon model are used in this system. This system is implemented as a separated part of the Myanmar to English machine translation system. Myanmar language does not use space between words. Therefore, the system uses Myanmar Word Segmenter, which is implemented in UCSYNLP lab and is available for research purpose, to segment Myanmar sentence. Myanmar-English bilingual corpus is also used as a main knowledge source. The vast amount of information is needed to guide the translation process. The large scale Myanmar corpus is unavailable at present. This system aims to increase correct translation results with limited bilingual corpus. The experimental results show that the proposed system seems promising for Myanmar to English machine translation system.