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  1. University of Computer Studies, Yangon
  2. Conferences

Myanmar Syllable Suggestion Input Method on Android Smart phone

http://hdl.handle.net/20.500.12678/0000004992
http://hdl.handle.net/20.500.12678/0000004992
2964ba26-1deb-417e-a489-45501d101505
2bac0faf-2298-4af4-bd6a-b8f490c8751b
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9027.pdf 9027.pdf (423 Kb)
Publication type
Article
Upload type
Publication
Title
Title Myanmar Syllable Suggestion Input Method on Android Smart phone
Language en
Publication date 2011-05-05
Authors
Oo, Nandar Pwint
Thein, Ni Lar
Description
It has been understood that text entry onmobile phone can only be speed up with the aidof prediction mechanism. This paper proposedintelligent syllable prediction Input MethodEditor (IME) for Android touch screen mobilephones by taking the leverage of the PositionAware Matching Model (PAM) and StatisticalLanguage Model (Bi-gram Model). Theexperimental results indicate that the proposedsystem outperforms the conventional Myanmarsoft keyboard on Android (without predictiontechnology embedded: MyanDroid.apk) with a50% improvement in inputting performance andthe input speed.
Keywords
text entry, Mobile phone, Soft Keyboard, Touch Screen
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/89
Journal articles
Ninth International Conference On Computer Applications (ICCA 2011)
Conference papers
Books/reports/chapters
Thesis/dissertations
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