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
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;
Conference_Titel :
Communications and Information Technology, 2004. ISCIT 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8593-4
DOI :
10.1109/ISCIT.2004.1413906
