Hostname: page-component-7c8c6479df-ws8qp Total loading time: 0 Render date: 2024-03-27T10:29:08.107Z Has data issue: false hasContentIssue false

Word-based predictive text entry using adaptive language models

Published online by Cambridge University Press:  15 February 2006

KUMIKO TANAKA-ISHII
Affiliation:
Graduate School of Information Science and Technology, University of Tokyo Tokyo, Japan e-mail: kumiko@i.u-tokyo.ac.jp

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.

Type
Papers
Copyright
2006 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)