• 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