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        <identifier>oai:meral.edu.mm:recid/00006758</identifier>
        <datestamp>2021-12-13T05:06:07Z</datestamp>
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          <dc:title>CRF-based Named Entity Recognition for Myanmar Language</dc:title>
          <dc:creator>Hsu Myat Mo</dc:creator>
          <dc:creator>KhinThandar Nwet</dc:creator>
          <dc:creator>Khin Mar Soe</dc:creator>
          <dc:description>Named Entity recognition (NER) is a subtask of information ex-traction and information retrieval that automatically identify proper nouns in texts and classify into predefined categories of name types. This paper in-troduces the effort on identification and classification of Named Entities in written Myanmar scripts in a statistical way. A statistical approach for NER of Myanmar Language using one of the supervised machine learning approaches called Conditional Random Fields (CRF) has been proposed for this task.</dc:description>
          <dc:date>2016-11-01</dc:date>
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