A word-based predictive text entry method for Khmer language

Abstract

This paper begins with a discussion on the difficulties in applying word-based text entry method for Khmer, official language of Cambodia. Then, we propose a word-based predictive method based on careful analysis on the structure of current Khmer typing system. To evaluate the proposed text entry, we designed and implemented two interface prototypes; the 12-key mobile phone interface and the stylus-based device interface such as Personal Digital Assistant (PDA). Results show that compared to the existing methods our model provides better keystrokes and speed.