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Ambiguous Myanmar Word Disambiguation System for Myanmar-English Statistical Machine Translation

by Nyein Thwet Thwet Aung, Khin Mar Soe, Ni Lar Thein
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 27 - Number 8
Year of Publication: 2011
Authors: Nyein Thwet Thwet Aung, Khin Mar Soe, Ni Lar Thein
10.5120/3323-4568

Nyein Thwet Thwet Aung, Khin Mar Soe, Ni Lar Thein . Ambiguous Myanmar Word Disambiguation System for Myanmar-English Statistical Machine Translation. International Journal of Computer Applications. 27, 8 ( August 2011), 5-11. DOI=10.5120/3323-4568

@article{ 10.5120/3323-4568,
author = { Nyein Thwet Thwet Aung, Khin Mar Soe, Ni Lar Thein },
title = { Ambiguous Myanmar Word Disambiguation System for Myanmar-English Statistical Machine Translation },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 27 },
number = { 8 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 5-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume27/number8/3323-4568/ },
doi = { 10.5120/3323-4568 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:13:13.619011+05:30
%A Nyein Thwet Thwet Aung
%A Khin Mar Soe
%A Ni Lar Thein
%T Ambiguous Myanmar Word Disambiguation System for Myanmar-English Statistical Machine Translation
%J International Journal of Computer Applications
%@ 0975-8887
%V 27
%N 8
%P 5-11
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Statistical Machine Translation (SMT), there are many source words that can present different translations or senses. Word Sense Disambiguation (WSD) system is designed to determine which one of the senses of an ambiguous word is invoked in a particular context around the word. It is an intermediate task essential to many natural language processing problems, including machine translation, information retrieval and speech processing. There is not any cited work for resolving ambiguity of words in Myanmar language. This paper presents a new WSD method for ambiguous Myanmar words. It is based on supervised learning approach, Nearest Neighbor Cosine Classifier. The system uses Myanmar-English Parallel Corpus as a training resource. As an advantage, the system can overcome the problem of translation ambiguity from Myanmar to English language translation.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Myanmar Language ambiguous Myanmar words supervised learning Nearest Neighbor Cosine Classifier Myanmar-English Parallel Corpus

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