2026-04-30T06:21:24Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4992 2021-12-13T02:42:17Z 1582963302567:1597824273898 user-ucsy

Myanmar Syllable Suggestion Input Method on Android Smart phone Oo, Nandar Pwint Thein, Ni Lar 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. 2011-05-05 http://hdl.handle.net/20.500.12678/0000004992 https://meral.edu.mm/records/4992