Towards an intelligent multilingual keyboard system
Tanapong Potipiti, Virach Sornlertlamvanich, Kanokwut Thanadkran · 2001
This paper proposes a practical approach employing n-gram models and error-correction rules for Thai key prediction and Thai-English language identification. The paper also proposes rule-reduction algorithm applying mutual information to reduce the error-correction rules. Our algorithm reported more than 99% accuracy in both language identification and key prediction.