VERB PHRASE IDENTIFICATION AND TRANSLATION (MYANMAR TO ENGLLISH)

Abstract

In the application of Natural Language Processing (NLP), phrase identification is one of the important roles for machine translation system. This paper proposed Myanmar Verb Phrase identification Algorithm and Morphological Analysis of prefix, suffix and tense particle. The proposed system uses RuleBased and Maximum Matching approach on how to identify the Myanmar Verb Phrase. Updated information are presented by using Finite Sate Automata applying the predefine rules. And then, the system translates the Myanmar Verb Phrase into proper English Verb Phrase. The system also creates a small Myanmar – English Bilingual lexicon.