DocumentCode
2897832
Title
Credibility evaluation of candidates for input prediction method
Author
Rina, Wu ; Araki, Kenji
Author_Institution
Graduate Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
Volume
2
fYear
2004
fDate
26-29 Oct. 2004
Firstpage
1188
Abstract
We introduce a method of credibility evaluation of candidate for input prediction. It is very important to give the best order of predicted candidates on the input prediction system. In our study, we make use of the priority evaluation function (PEF) and the correlation of some related words to evaluate the prediction candidates and give the best candidate order if possible. Experimental evaluation of the method has shown that the PEF function is effective.
Keywords
learning by example; natural languages; candidate credibility evaluation; input prediction method; priority evaluation function; Dictionaries; Frequency; Information science; Prediction methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technology, 2004. ISCIT 2004. IEEE International Symposium on
Print_ISBN
0-7803-8593-4
Type
conf
DOI
10.1109/ISCIT.2004.1413906
Filename
1413906
Link To Document