DocumentCode
2053309
Title
Evaluation for generality of natural Japanese sentence generation method using inductive learning
Author
Ozaki, Masayuki ; Araki, Kenji ; Tochinai, Koji
Author_Institution
Div. of Electron. & Inf. Eng., Hokkaido Univ., Sapporo, Japan
Volume
3
fYear
2001
fDate
2001
Firstpage
1677
Abstract
A lot of unnatural sentences exist in the Japanese which the computer generates in machine translation, dialogue processing and so on. This causes user dissatisfaction. From the point of view of this situation; we previously proposed the method which paraphrases an unnatural Japanese sentence generated by a computer to its natural Japanese sentence with inductive learning. In order to confirm the effectiveness of our proposed method, we constructed the experimental system and carried out the evaluation experiment. The rate of,the number of natural sentences in the number of all input sentences improved from 32.4% to 55.3%. From the result of this evaluation experiment, we have confirmed the effectiveness of our method. In this paper, first of all we explain the outline of our proposal method, and consider the effectiveness of our method, through experimental results
Keywords
language translation; learning by example; natural languages; Japanese; dialogue processing; inductive learning; machine translation; natural language processing; paraphrasing; Dictionaries; Impedance matching; Machine learning; Natural language processing; Natural languages; Proposals; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location
Tucson, AZ
ISSN
1062-922X
Print_ISBN
0-7803-7087-2
Type
conf
DOI
10.1109/ICSMC.2001.973526
Filename
973526
Link To Document