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New Index
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Item
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Word Segmentation and New Word Identification of Myanmar Language
http://hdl.handle.net/20.500.12678/0000004324
http://hdl.handle.net/20.500.12678/00000043243b784cbd-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 |