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      <header>
        <identifier>oai:meral.edu.mm:recid/00006754</identifier>
        <datestamp>2021-12-13T00:47:09Z</datestamp>
        <setSpec>1582963342780:1596102355557</setSpec>
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          <dc:title>Myanmar - English Machine Translation Model</dc:title>
          <dc:creator>Khin Thandar Nwet</dc:creator>
          <dc:creator>Khin Mar Soe</dc:creator>
          <dc: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.</dc:description>
          <dc:date>2016-10-21</dc:date>
          <dc:identifier>https://meral.edu.mm/records/6754</dc:identifier>
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