Natural Language Engineering



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Word-based predictive text entry using adaptive language models


KUMIKO TANAKA-ISHII a1
a1 Graduate School of Information Science and Technology, University of Tokyo Tokyo, Japan e-mail: [email protected]

Article author query
tanaka-ishii k   [Google Scholar] 
 

Abstract

The recent scaling down of mobile device form factors has increased the importance of predictive text entry. It is now also becoming an important communication tool for the disabled. Techniques related to predictive text entry software are discussed in a generalized, language-independent manner. The essence of predictive text entry is twofold, consisting of (1) the design of codes for text entry, and (2) the use of adaptive language models for decoding. Code design is examined in terms of the information-theoretical efficiency. Four adaptive language models are introduced and compared, and experimental results on text entry with these models are shown for English, Thai and Japanese.

(Received September 10 2004)
(Revised August 26 2005)