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        <identifier>oai:meral.edu.mm:recid/4324</identifier>
        <datestamp>2021-12-13T03:28:13Z</datestamp>
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          <dc:title>Word Segmentation and New Word Identification of Myanmar Language</dc:title>
          <dc:creator>Soe, Ei Phyu Phyu</dc:creator>
          <dc:description>Myanmar texts are different fromEnglish texts in that they have no spaces tomark the boundaries of words. So, Myanmarword segmentation is a difficult. Theprocessing of Myanmar text is complicatedby the fact that there are no word delimiters.To segment Myanmar word, systemstypically use knowledge-based methods andlarge lexicons. This paper presents theability of linear-chain conditional randomfields (CRFs) to perform Myanmar wordsegmentation by providing lexicon. Thispaper also presents a probabilistic newword detection method by providing theaccess variety (AV) statistics and forwardbackward algorithm. This system constructsthe lexicon to improve the new wordidentification.</dc:description>
          <dc:date>2012-02-28</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000004324</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/4324</dc:identifier>
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