Evaluation for generality of natural Japanese sentence generation method using inductive learning

被引:0
|
作者
Ozaki, M [1 ]
Araki, K [1 ]
Tochinai, K [1 ]
机构
[1] Hokkaido Univ, Grad Sch Engn, Div Elect & Informat Engn, Kita Ku, Sapporo, Hokkaido 0608628, Japan
关键词
inductive learning; natural language processing; machine translation; naturalness; paraphrasing;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A lot of unnatural sentences exist in the Japanese sentences which the computer generates in the machine translation, the dialogue processing and so on. The user has dissatisfaction for it. 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 the experimental results.
引用
收藏
页码:1677 / 1682
页数:6
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