A word-based predictive text entry method for khmer language

Phavy Ouk, Kyaw Thu Ye, Mitsuji Matsumoto, Yoshiyori Urano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008
Pages214-219
Number of pages6
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008 - Las Vegas, NV
Duration: 2008 Jul 132008 Jul 15

Other

Other2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008
CityLas Vegas, NV
Period08/7/1308/7/15

ASJC Scopus subject areas

  • Information Systems
  • Software

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  • Cite this

    Ouk, P., Ye, K. T., Matsumoto, M., & Urano, Y. (2008). A word-based predictive text entry method for khmer language. In 2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008 (pp. 214-219). [4583032] https://doi.org/10.1109/IRI.2008.4583032