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  1. University of Computer Studies, Yangon
  2. Conferences

Word Segmentation and New Word Identification of Myanmar Language

http://hdl.handle.net/20.500.12678/0000004324
http://hdl.handle.net/20.500.12678/0000004324
3b784cbd-c7af-4ba1-9441-ae96c49caaef
0910fdb7-814c-402d-bc41-1c13f5cae653
Publication type
Article
Upload type
Publication
Title
Title Word Segmentation and New Word Identification of Myanmar Language
Language en_US
Publication date 2012-02-28
Authors
Soe, Ei Phyu Phyu
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.
Keywords
Myanmar language, Lexicon, Word Segmentation, Conditional Random Fields
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/2262
Journal articles
Tenth International Conference On Computer Applications (ICCA 2012)
Conference papers
Books/reports/chapters
Thesis/dissertations
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