Abstract
This paper presents an approach to improve the correctness for Thai text inputting via virtual keyboard on touch screen mobile phones. The proposed approach is to generate candidate character based on statistical model from bivariate analysis of pre-collected coordinate data and apply the character trigram model to each candidate character sequence. From user’s touch positions, a set of candidate characters with high position-based probability is generated. Then, the character trigram model is applied to each generated candidate characters sequence. For each character sequence, a probability is computed from the weighted combination of position-based and character trigram models. In the end, the character sequence with the highest probability is selected to be the most appropriate sequence. Experiments were conducted to compare the typing accuracy between an ordinary Thai virtual keyboard and our proposed algorithm using the same Thai keyboard layout. Results demonstrate that the proposed algorithm provides the improvement in the text entry accuracy in both character levels and word levels.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
References
Gartner, Inc.: Gartner Says Worldwide Mobile Device Sales to End Users Reached 1.6 Billion Units in 2010; Smartphone Sales Grew 72 Percent in 2010 (2010), http://www.gartner.com/it/page.jsp?id=1543014
Janpinijrut, S., Nattee, C., Kayasith, P.: An Approach for Improving Thai Text Entry on Touch Screen Mobile Phones Based on Distance and Statistical Language Model. In: Theeramunkong, T., Kunifuji, S., Sornlertlamvanich, V., Nattee, C. (eds.) KICSS 2010. LNCS, vol. 6746, pp. 44–55. Springer, Heidelberg (2011)
Mackenzie, I.S., Zhang, S.X., Soukoreff, R.W.: Text entry using soft keyboards. Behaviour and Information Technology 18, 235–244 (1999)
Mackenzie, I.S., Zhang, X.: Eye typing using word and letter prediction and a fixation algorithm
Potipiti, T., Sornlertlamvanich, V., Thanadkran, K.: Towards an intelligent multilingual keyboard system
Thailand National Electronics and Computer Technology Center (NECTEC): Benchmark for Enhancing the Standard of Thai language processing 2010, BEST 2010 (2010), http://www.hlt.nectec.or.th/best/?q=node/10
West, L.J.: The standard and dvorak keyboards revisited: Direct measures of speed. Tech. rep., Measures of Speed, Santa Fe Institute Working Papers Paper (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Phanchaipetch, T., Nattee, C. (2012). An Approach for Improving Thai Text Entry on Touch Screen Mobile Devices Based on Bivariate Normal Distribution and Probabilistic Language Model. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28493-9_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-28493-9_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28492-2
Online ISBN: 978-3-642-28493-9
eBook Packages: Computer ScienceComputer Science (R0)