MERAL Myanmar Education Research and Learning Portal
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Myanmar Syllable Suggestion Input Method on Android Smart phone
http://hdl.handle.net/20.500.12678/0000004992
http://hdl.handle.net/20.500.12678/00000049922964ba26-1deb-417e-a489-45501d101505
2bac0faf-2298-4af4-bd6a-b8f490c8751b
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9027.pdf (423 Kb)
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Article | ||||||
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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 |