Corpus-based predictive text input

Hiroyuki Komatsu; Satoru Takabayashi; Toshiyuki Masui

doi:10.1109/AMT.2005.1505271

Corpus-based predictive text input

Hiroyuki Komatsu, Satoru Takabayashi, Toshiyuki Masui

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 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 language	English
Title of host publication	Proceedings of the 2005 International Conference on Active Media Technology, AMT 2005
Pages	75-80
Number of pages	6
DOIs	https://doi.org/10.1109/AMT.2005.1505271
Publication status	Published - 2005 Dec 1
Externally published	Yes
Event	2005 International Conference on Active Media Technology, AMT 2005 - Kagawa, Japan Duration: 2005 May 19 → 2005 May 21

Publication series

Name	Proceedings of the 2005 International Conference on Active Media Technology, AMT 2005
Volume	2005

Other

Other	2005 International Conference on Active Media Technology, AMT 2005
Country/Territory	Japan
City	Kagawa
Period	05/5/19 → 05/5/21

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/AMT.2005.1505271

Cite this

Corpus-based predictive text input. / Komatsu, Hiroyuki; Takabayashi, Satoru; Masui, Toshiyuki.
Proceedings of the 2005 International Conference on Active Media Technology, AMT 2005. 2005. p. 75-80 1505271 (Proceedings of the 2005 International Conference on Active Media Technology, AMT 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 1505271, Proceedings of the 2005 International Conference on Active Media Technology, AMT 2005, vol. 2005, pp. 75-80, 2005 International Conference on Active Media Technology, AMT 2005, Kagawa, Japan, 05/5/19. https://doi.org/10.1109/AMT.2005.1505271

@inproceedings{bd91f09ce67d44f4b1ed17bbe91253a9,

title = "Corpus-based predictive text input",

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.",

author = "Hiroyuki Komatsu and Satoru Takabayashi and Toshiyuki Masui",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/AMT.2005.1505271",

language = "English",

isbn = "0780390350",

series = "Proceedings of the 2005 International Conference on Active Media Technology, AMT 2005",

pages = "75--80",

booktitle = "Proceedings of the 2005 International Conference on Active Media Technology, AMT 2005",

note = "2005 International Conference on Active Media Technology, AMT 2005 ; Conference date: 19-05-2005 Through 21-05-2005",

}

TY - GEN

T1 - Corpus-based predictive text input

AU - Komatsu, Hiroyuki

AU - Takabayashi, Satoru

AU - Masui, Toshiyuki

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33745726333&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745726333&partnerID=8YFLogxK

U2 - 10.1109/AMT.2005.1505271

DO - 10.1109/AMT.2005.1505271

M3 - Conference contribution

AN - SCOPUS:33745726333

SN - 0780390350

SN - 9780780390355

T3 - Proceedings of the 2005 International Conference on Active Media Technology, AMT 2005

SP - 75

EP - 80

BT - Proceedings of the 2005 International Conference on Active Media Technology, AMT 2005

T2 - 2005 International Conference on Active Media Technology, AMT 2005

Y2 - 19 May 2005 through 21 May 2005

ER -

Corpus-based predictive text input

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this