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        <identifier>oai:meral.edu.mm:recid/00006849</identifier>
        <datestamp>2021-12-13T01:20:57Z</datestamp>
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          <dc:title>Anaphora Resolution for Myanmar Text Using K-Nearest Neighbor Algorithm</dc:title>
          <dc:creator>Khin Theink Theink Soe</dc:creator>
          <dc:creator>Tin Htar Nwe</dc:creator>
          <dc:creator>Khin Thandar Nwet</dc:creator>
          <dc:description>Anaphora resolution which most commonly appears as pronoun resolution is the problem of
resolving references to earlier or later items in the discourse. Anaphora resolution is an active area of
research, such as text mining, text summarization, dialogue interpretations, information extraction, and so on.
Anaphora resolution in English and other European languages has been well done in early. But Myanmar
Language has not sufficiently applied. This paper presents Myanmar anaphora resolution system by using
rule-based part of speech tagging and machine learning approach. Rule-based manner with morphological
informat ion is used to collect anaphora and possible antecedents. K-Nearest Neighbor (k-NN) approach is used to select the most probable candidate as the antecedent of the anaphor.</dc:description>
          <dc:date>2019-03-01</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000006849</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/6849</dc:identifier>
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