Approach of Noun Modifier with verb by Linguistic Truth Value

  • MERA Kazuya
    Faculty of Information Sciences, Hiroshima City University
  • ICHIMURA Takumi
    Faculty of Information Sciences, Hiroshima City University
  • YAMASHITA Toshiyuki
    Graduate School of Engineering, Tokyo Metropolitan Institute of Technology
  • MIKI Yoshiaki
    Graduate School of Information Science. Nara Institute of Science and Technology

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Other Title
  • 言語真理値を用いた情緒計算手法の連体修飾節への応用
  • ゲンゴ シンリチ オ モチイタ ジョウチョ ケイサン シュホウ ノ レンタイ シュウショクセツ エ ノ オウヨウ

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The Emotion Generating Calculations (EGCs) can calculate human's emotions based on personal favorite values. The favorite values indicate the degree of likes/dislikes for some predefined objects. In this paper, we apply the "limitation of fuzzy truth value" method for evaluating the impression of noun clause. We consider that the relationship between the "truth value of fuzzy proposition" and the "linguistic truth value" is the same as that between a modified word and the modifier clause. An object has two types of truth values for like and dislike. The validity of this method is examined for some examples of noun modifier with verb in Japanese fairy tale "KACHIKACHIYAMA."

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