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Improving Phrase-based Statistical Myanmar to English Machine Translation with Morphological Analysis

by Thet Thet Zin, Khin Mar Soe, Ni Lar Thein
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 28 - Number 1
Year of Publication: 2011
Authors: Thet Thet Zin, Khin Mar Soe, Ni Lar Thein
10.5120/3354-4627

Thet Thet Zin, Khin Mar Soe, Ni Lar Thein . Improving Phrase-based Statistical Myanmar to English Machine Translation with Morphological Analysis. International Journal of Computer Applications. 28, 1 ( August 2011), 13-19. DOI=10.5120/3354-4627

@article{ 10.5120/3354-4627,
author = { Thet Thet Zin, Khin Mar Soe, Ni Lar Thein },
title = { Improving Phrase-based Statistical Myanmar to English Machine Translation with Morphological Analysis },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 28 },
number = { 1 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 13-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume28/number1/3354-4627/ },
doi = { 10.5120/3354-4627 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:13:37.476913+05:30
%A Thet Thet Zin
%A Khin Mar Soe
%A Ni Lar Thein
%T Improving Phrase-based Statistical Myanmar to English Machine Translation with Morphological Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 28
%N 1
%P 13-19
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents Myanmar phrases translation model with morphology analysis. The system is based on statistical approach. In statistical machine translation, large amount of information is needed to guide the translation process. When small amount of training data is available, morphological analysis is needed especially for morphology rich language. Myanmar language is inflected language and there are very few creations and researches of corpora in Myanmar, comparing to other language such as English, French, and Czech etc. Therefore, Myanmar phrases translation model is based on syntactic structure and morphology of Myanmar language. Bayes rule is also used to reformulate the translation probability of phrase pairs. Experiment results showed that proposed system can improve translation quality by applying morphological analysis on Myanmar language.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Statistical Machine Translation Morphological Analysis Syntactic Structure Bayes Rules Out-of-Vocabulary

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