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        <identifier>oai:meral.edu.mm:recid/4827</identifier>
        <datestamp>2021-12-13T05:28:47Z</datestamp>
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          <dc:title>CRF-based Named Entity Recognition for Myanmar Language</dc:title>
          <dc:creator>Mo, Hsu Myat</dc:creator>
          <dc:creator>Nwet, Khin Thandar</dc:creator>
          <dc:creator>Soe, Khin Mar</dc:creator>
          <dc:description>Named Entity recognition (NER) is a subtask of information extraction and information retrieval that automatically identify proper nounsin texts and classify into predefined categories of name types. This paper introduces the effort on identification and classification of Named Entities inwritten Myanmar scripts in a statistical way. A statistical approach forNER of Myanmar Language using one of the supervised machine learningapproaches called Conditional Random Fields (CRF) has been proposed forthis task.</dc:description>
          <dc:date>2016-10-21</dc:date>
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          <dc:identifier>https://meral.edu.mm/records/4827</dc:identifier>
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