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 :
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