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Analysis and Generation of Japanese Folktales Based on Vladimir Propp’s Methodology

  • Takenori Wama
  • Ryohei Nakatsu
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 279)

Abstract

We aim to develop an automatic generation of interactive stories. For this aim, we have analyzed Japanese folktales. In this area, there exists famous research conducted by Vladimir Propp. He analyzed more than 100 Russian magicinspired folktales by segmenting each of them into a series of short segments and classified each segment into one of 31 functions. Here, we tried to analyze about 20 Japanese folktales adopting his method and found several interesting facts that differentiate Japanese folktales from those of Russia.

Keywords

Main Character Initial Situation Story Generation Grand Finale Story Theory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Propp, V. (1968). Morphology of the Folktale.University of Texas Press. Analysis and Generation of Japanese Folktales Based on Vladimir Propp’s Methodology 137Google Scholar
  2. 2.
    Tutani, Y. YUZI’s INDIE FILMMAKER. (2003). http://www.voltage.co.jp/indiefm/dramatica/dramatica1.htm.Google Scholar
  3. 3.
    Kaneko, M. Scenario Engine Project. (2003).Google Scholar
  4. 4.
    Nakatsu, R. & Rauterberg, M. A New Framework for Entertainment Computing: From Passive to Active Experience. (2005). In: F. Kishino et al. (Eds.), Entertainment Computing ICEC’05(pp.1-12). Lecture Notes in Computer Science, Vol.3711, Springer Press..Google Scholar
  5. 5.
    Sakuma, T. & Ogata, T. Story Generation Support System used the Story Theory of Propp. (2005). The 19th Annual Conference of the Japanese Society for Artificial Intelligence, 3D3-04.Google Scholar
  6. 6.
    Sakuma, T. & Ogata, T. The Synthesis of Stories using Combine Rules: An Approach for the Story Generation Support System with Automatic Story Generation Function. (2006). The 20th Annual Conference of the Japanese Society for Artificial Intelligence, 2E3-2.Google Scholar
  7. 7.
    Inada, K. Japanese Folktales Hand Book.(2001). Sanseido Publisher.Google Scholar
  8. 8.
    Tomomi, K. Classical Edition: Japanese Folktales 101. (1997). Kodansha.Google Scholar
  9. 9.
    9. Murray, J. H. Hamlet on the Holodeck: The Future of Narrative in Cyberspace. (1997). Free Press.Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Takenori Wama
    • 1
  • Ryohei Nakatsu
    • 2
  1. 1.School of Science and TechnologyKwansei Gakuin University2-1 GakuenJapan
  2. 2.Interactive & Digital Media InstituteNational University of SingaporeSingapore

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