Myanmar Syllable Suggestion Input Method on Android Smart phone

dc.contributor.author	Oo, Nandar Pwint
dc.contributor.author	Thein, Ni Lar
dc.date.accessioned	2019-07-02T08:23:31Z
dc.date.available	2019-07-02T08:23:31Z
dc.date.issued	2011-05-05
dc.identifier.uri	http://onlineresource.ucsy.edu.mm/handle/123456789/89
dc.description.abstract	It has been understood that text entry on mobile phone can only be speed up with the aid of prediction mechanism. This paper proposed intelligent syllable prediction Input Method Editor (IME) for Android touch screen mobile phones by taking the leverage of the Position Aware Matching Model (PAM) and Statistical Language Model (Bi-gram Model). The experimental results indicate that the proposed system outperforms the conventional Myanmar soft keyboard on Android (without prediction technology embedded: MyanDroid.apk) with a 50% improvement in inputting performance and the input speed.	en_US
dc.language.iso	en	en_US
dc.publisher	Ninth International Conference On Computer Applications (ICCA 2011)	en_US
dc.subject	text entry	en_US
dc.subject	Mobile phone	en_US
dc.subject	Soft Keyboard	en_US
dc.subject	Touch Screen	en_US
dc.title	Myanmar Syllable Suggestion Input Method on Android Smart phone	en_US
dc.type	Article	en_US