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
Masuro, O.(ed.): Dictionary of Situation-by-Situation Honorific Expression Usage. Tokyodo-Shuppan, Tokyo (1999)
Koichi, F.: Data Mining: Concepts and Techniques, http://web.sfc.keio.ac.jp/~soh/dm03/dm03-8.ppt
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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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DOI: https://doi.org/10.1007/11671299_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32205-4
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