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  1. University of Computer Studies, Yangon
  2. Journals

Myanmar Word Segmentation Using Hybrid Approach

http://hdl.handle.net/20.500.12678/0000004385
http://hdl.handle.net/20.500.12678/0000004385
eb7f594e-0517-4129-857c-24b9ee922ea9
a1892eb3-060c-4439-83b1-822798645cdb
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NJPSC NJPSC 2019 Proceedings-pages-219-225.pdf (463 Kb)
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Article
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Publication
Title
Title Myanmar Word Segmentation Using Hybrid Approach
Language en_US
Publication date 2019-03
Authors
Myat, Khine Myint
Soe, Khin Mar
Description
Word segmentation is a basic task and animportant problem in natural language processing. InMyanmar text, words composed of single or multiplesyllables are usually not separated by white space.Word segmentation to determine the boundaries ofwords for languages without word separators inorthography is a basic task in natural languageprocessing. This system uses a 2-step longest matchingapproach. The first step was syllable segmentation, inthe second was Hybrid Approach of left-to-rightsyllable maximum matching and hierarchicalexpectation maximization approach. This system is tobe able to use as a pre-processing tool in Myanmartext processing such as Machine Translation,Information Retrieval, Search Engine using Myanmarlanguage. The experiment result shows that 96% ofaccuracy in word segmentation.
Keywords
Machine Translation, Information Retrieval, Search Engine using Myanmar language
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/2321
Journal articles
National Journal of Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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