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VERB PHRASE IDENTIFICATION AND TRANSLATION (MYANMAR TO ENGLLISH)

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dc.contributor.author Soe, The` The`
dc.date.accessioned 2019-09-25T13:52:57Z
dc.date.available 2019-09-25T13:52:57Z
dc.date.issued 2012-02-28
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/2273
dc.description.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. en_US
dc.language.iso en_US en_US
dc.publisher Tenth International Conference On Computer Applications (ICCA 2012) en_US
dc.title VERB PHRASE IDENTIFICATION AND TRANSLATION (MYANMAR TO ENGLLISH) en_US
dc.type Article en_US


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