Generating a Set of Rules to Determine Honorific Expression Using Decision Tree Learning (original) (raw)

Abstract

In Japanese language, the speaker must choose suitable honorific expressions depending on many factors. The computer system should imitate this mechanism to make a natural Japanese sentence. We made a system to determine a suitable expression and named it honorific expression determining system (HEDS). It generates a set of rules to determine suitable honorific expression automatically, by decision tree learning. The system HEDS determines one out of the three classes for an input sentence: the respect expression, the modesty expression and the non-honorific expression and determines what expression the verb is. We calculated the accuracy of HEDS using the cross validation method and it was up to 74.88%.

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References

  1. Masuro, O.(ed.): Dictionary of Situation-by-Situation Honorific Expression Usage. Tokyodo-Shuppan, Tokyo (1999)
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Author information

Authors and Affiliations

  1. Department of Computer, Information and Communication Sciences, Tokyo University of Agriculture and Technology, 2-24-16, Nakacho, Koganei, Tokyo, 184-8588, Japan
    Kanako Komiya, Yasuhiro Tajima, Nobuo Inui & Yoshiyuki Kotani

Authors

  1. Kanako Komiya
  2. Yasuhiro Tajima
  3. Nobuo Inui
  4. Yoshiyuki Kotani

Editor information

Editors and Affiliations

  1. National Polytechnic Institute, Center for Computing Research, 07738, Mexico City, México
    Alexander Gelbukh

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© 2006 Springer-Verlag Berlin Heidelberg

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Komiya, K., Tajima, Y., Inui, N., Kotani, Y. (2006). Generating a Set of Rules to Determine Honorific Expression Using Decision Tree Learning. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2006. Lecture Notes in Computer Science, vol 3878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671299\_33

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