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Item

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Myanmar - English Machine Translation Model

https://meral.edu.mm/records/6754
f7d4342e-4c17-4426-99ec-a9fbcb2c9b8e
838fe31c-f394-4c97-b16e-e4a86205802e
Publication type
Conference paper
Upload type
Publication
Title
Title Myanmar - English Machine Translation Model
Language en
Publication date 2016-10-21
Authors
Khin Thandar Nwet
Khin Mar Soe
Description
Natural Language Processing (NLP) is the field that strives
to fill the communication gap between the different sections of societies.
One of the NLP processes, Machine Translation (MT) is used to translate
any language from native language by understanding and generating natural
language. The research in Myanmar-English MT has started since
2010. However, the translation accuracy is not becoming raise since the
complex syntactic structure of Myanmar Language and the scarceness
of resources. We found that it takes a lot of time to collect language
resources such as Myanmar-English aligned corpora and Treebank. This
paper presents current work of Myanmar-English machine translation
system based on statistical methods. The aim of this paper is to introduce
the Myanmar-English translation model and the comparative study
using Asian Language Tree-bank (ALT) data.
Keywords
Asian languages, parallel corpus, treebank, machine translation
Identifier 10.1007/978-3-319-48490-7_23
Conference papers
ICGEC 2016
21 October, 2016
The 10th International Conference on Gentic and Evolutionary Computing
https://link.springer.com/chapter/10.1007%2F978-3-319-48490-7_23
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