String to Tree and Tree to String Statistical Machine Translation for Myanmar Language

Abstract

This paper contributes the first publishedevaluation of the quality of string-to-tree (S2T)and tree-to-string (T2S) statistical machinetranslation methods between Myanmar andChinese, English, French, German in bothdirections. The performance of machinetranslation was automatically measured in termsof BLEU and RIBES scores for all experiments.In addition we performed a comparative study ofthe performance of phrase-based statisticalmachine translation (PBSMT) and T2S usinghuman judgment. We found that the resultsobtained using the BLEU automatic evaluationmetric were misleading and found that the T2Sapproach is suitable for distant languages toMyanmar machine translation