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        <identifier>oai:meral.edu.mm:recid/4641</identifier>
        <datestamp>2021-12-13T04:28:39Z</datestamp>
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          <dc:title>Applying Morphological Structure for Effective Part-of-Speech Tagging in Myanmar Text</dc:title>
          <dc:creator>Myint, Cynthia</dc:creator>
          <dc:description>Part-of-Speech tagging is the process ofmarking up the words in a text as correspondingto a particular part of speech based on both itsdefinition, as well as its context. Tagsets andword disambiguation rules are fundamentalparts of any POS tagger. This system proposed anew approach to POS tagger of Myanmar text. Itexploits a hybrid approach which is combinationof rule based and statistical methods to tagMyanmar sentence. The tagger of this systemdemonstrates on the following ideas: (i) Designdetail tagsets for Part-of-Speech according fromMyanmar Grammar. (ii) Generate rules fordisambiguation of word in various part of speechaccording to different morphological structure.(iii) Explicit use of both preceding and followingcontexts via a cyclic dependency networkrepresentation. So, the expected results of thisproposed system shows that tagging accuracy ishigh by using morphological structure ofMyanmar Language.</dc:description>
          <dc:date>2011-05-05</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000004641</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/4641</dc:identifier>
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