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
相关论文
共 50 条
  • [21] A Method of Haiku Generation Using Deep Learning for Advertising Generation
    Ono, Jumpei
    Ogata, Takashi
    ICAROB 2019: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS, 2019, : 578 - 580
  • [22] A Study on Output Sentence Generation Method for Question Answering Using Statistical Machine Translation
    Yamada, Tessei
    Arakawa, Tatsuya
    2013 13TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2013), 2013, : 1199 - 1202
  • [23] Using category structures to test iterated learning as a method for identifying inductive biases
    Griffiths, Thomas L.
    Christian, Brian R.
    Kalish, Michael L.
    COGNITIVE SCIENCE, 2008, 32 (01) : 68 - 107
  • [24] Parallels between experiential learning method and inductive reasoning in mathematics using technology
    Justan, MP
    Omampo, CB
    6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VIII, PROCEEDINGS: CONCEPTS AND APPLICATIONS OF SYSTEMICS, CYBERNETICS AND INFORMATICS II, 2002, : 546 - 551
  • [25] An automatic music generation and evaluation method based on transfer learning
    Guo, Yi
    Liu, Yangcheng
    Zhou, Ting
    Xu, Liang
    Zhang, Qianxue
    PLOS ONE, 2023, 18 (05):
  • [26] Trajectory generation for mobile manipulators using a learning method
    Abdessemed, Foudil
    2007 MEDITERRANEAN CONFERENCE ON CONTROL & AUTOMATION, VOLS 1-4, 2007, : 1484 - 1489
  • [27] An efficient inductive learning method for object-oriented database using attribute entropy
    Huang, YM
    Lin, SH
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1996, 8 (06) : 946 - 951
  • [28] Natural Language Generation Using Deep Learning to Support MOOC Learners
    Chenglu Li
    Wanli Xing
    International Journal of Artificial Intelligence in Education, 2021, 31 : 186 - 214
  • [29] Natural Language Generation Using Deep Learning to Support MOOC Learners
    Li, Chenglu
    Xing, Wanli
    INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 2021, 31 (02) : 186 - 214
  • [30] An evaluation of independent learning of the Japanese hiragana system using an interactive CD
    Geraghty, Barbara
    Quinn, Ann Marcus
    RECALL, 2009, 21 : 227 - 240