Automatic Reordering Rule Generation Based On Parallel Tagged Aligned Corpus for Myanmar-English Machine Translation

Reordering is important problem to be considered when translating between language pairs with different word orders. Myanmar is a verb final language and reordering is needed when it is translated into other languages which are different from Myanmar word order. In this paper, automatic reordering rule generation for Myanmar-English machine machine translation is presented. In order to generate reordering rules; Myanmar-English 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 rules 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.