Automatic Reordering Rule Generation for English-Myanmar Translation

Abstract

Reordering is important problem to be considered when translating between language pairs with different orders. Our Language, Myanmar is a verb final language and reordering is needed when we translate our language from other languages with different orders. In this paper, we focus on automatic reordering rule generation for English-Myanmar machine translation. In order to generate reordering rules; English-Myanmar parallel tagged aligned corpus is firstly created. Then reordering rules are generated automatically by using the linguistic information from this parallel tagged aligned corpus. In this paper, function tag and part-of-speech tag reordering rule extraction algorithms are proposed to generate reordering rule automatically. These algorithms can be used for other language pairs which need reordering because these rules generation is only depend on part-of-speech tags and function tags.