Corpus-based predictive text input

Hiroyuki Komatsu, Satoru Takabayashi, Toshiyuki Masui

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

5 Citations (Scopus)

Abstract

We introduce a new predictive text input system that uses visited documents for predicting the user's next input word. With our method, users can efficiently compose new texts using other documents as dictionaries for the input prediction. We have developed a document storage system Kukura that stores all the texts visited by users and cooperates with our predictive input system PRIME. In this paper, we describe the design, implementation, and evaluation of our approach.

Original languageEnglish
Title of host publicationProceedings of the 2005 International Conference on Active Media Technology, AMT 2005
Pages75-80
Number of pages6
DOIs
Publication statusPublished - 2005 Dec 1
Externally publishedYes
Event2005 International Conference on Active Media Technology, AMT 2005 - Kagawa, Japan
Duration: 2005 May 192005 May 21

Publication series

NameProceedings of the 2005 International Conference on Active Media Technology, AMT 2005
Volume2005

Other

Other2005 International Conference on Active Media Technology, AMT 2005
CountryJapan
CityKagawa
Period05/5/1905/5/21

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Komatsu, H., Takabayashi, S., & Masui, T. (2005). Corpus-based predictive text input. In Proceedings of the 2005 International Conference on Active Media Technology, AMT 2005 (pp. 75-80). [1505271] (Proceedings of the 2005 International Conference on Active Media Technology, AMT 2005; Vol. 2005). https://doi.org/10.1109/AMT.2005.1505271