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  1. University of Computer Studies, Yangon
  2. Conferences

Myanmar Compound Word Errors Detection and Suggestion Generation

http://hdl.handle.net/20.500.12678/0000004713
http://hdl.handle.net/20.500.12678/0000004713
3b9c7c8e-86e0-413b-b204-f3d66f700477
a3998547-5089-4044-b130-cf9925cbfa02
Publication type
Article
Upload type
Publication
Title
Title Myanmar Compound Word Errors Detection and Suggestion Generation
Language en
Publication date 2012-02
Authors
Mon, Aye Myat
Thein, Thandar
Description
In Myanmar Language, Pronunciation andorthography has differences because spelling is oftennot an accurate reflection of pronunciation.Pronunciation of a word may lead to misspelling. In thispaper, we present Myanmar Compound misused wordserrors detection and suggestion generation system. Inthis paper, we propose Myanmar compound misusedword error detection algorithm to apply in Myanmarspell checker. After detecting Myanmar compoundmisused words errors, we provide suggestion list, whichimplemented with two methods: Cosine Similarity andLevenshtein Distance Algorithm. To evaluate theefficiency of the system, we tested with various types ofMyanmar sentences which contain various types of spellerrors. According to the evaluation results, our proposedsystem achieves promising accuracy (over 90 %) forMyanmar compound misused words errors detection. Byanalyzing these two results, we found that LevenshteinDistance Algorithm can provide better relevantsuggestion list.
Keywords
Cosine Similarity, Levenshtein Distance Algorithm, Myanmar Compound Misused Word, Spell Checker
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/418
Journal articles
Tenth International Conference On Computer Applications (ICCA 2012)
Conference papers
Books/reports/chapters
Thesis/dissertations
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