Rule generation to determine the gender of a speaker of a Japanese sentence

  • Authors:

  • Kanako Komiya;Koji Fujimoto;Yashuhiro Ajima;Yoshiyuki Kotani

  • Affiliations:

  • Department of Computer, Information and Communication Sciences, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan;Tensor Consulting Co. Ltd., ChiyodaKu, Tokyo, Japan;Department of Computer, Information and Communication Sciences, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan;Department of Computer, Information and Communication Sciences, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan

  • Venue:
  • SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
  • Year:
  • 2008

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Abstract

Some work has been reported on the problem of automatically determining the gender of a document's author as a part of researches to extract features of a document's author. Japanese language has expressions called masculine/feminine expression, and they can often indicate the gender of a speaker of a conversational sentence. The computer system needs this mechanism to make or understand natural Japanese conversational sentences. The authors made a system that determines the suitable gender of a speaker of a single conversational sentence and named it gender-determining system (GDS). It generates a set of rules to determine the more suitable gender of a speaker of a sentence automatically, by decision tree learning. The authors employed six linguistic features for each of two morphemes at the end of a sentence and presence or absence of morphemes whose part of speech is a general pronoun or a particle for ending as features of decision tree learning. The authors calculated the accuracy of GDS using the cross validation method and it was approximately 69.3% when human could answer the same problem with approximately 71.7%.