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Haiku Generation From Narratological Perspective: A Circulation Between Haikus and Stories

Haiku Generation From Narratological Perspective: A Circulation Between Haikus and Stories
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Author(s): Jumpei Ono (Aomori University, Japan)and Takashi Ogata (Iwate Prefectural University, Japan)
Copyright: 2021
Pages: 17
Source title: Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation
Source Author(s)/Editor(s): Takashi Ogata (Iwate Prefectural University, Japan)and Jumpei Ono (Aomori University, Japan)
DOI: 10.4018/978-1-7998-4864-6.ch007

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Abstract

Haiku—a form of unrhymed poetry—is popular among the Japanese. A typical haiku is composed of 17 moras and three phrases. A haiku has the possibility of scratching the surface and uncovering a hidden message through an expression of events. According to Masaoka Shiki, a haiku is a kind of literature and has high affinity with our research on generating stories. In this chapter, the authors implemented the prototype system that has two functions: first, to produce multiple haikus from a single story, and second, to engender multiple stories from haikus. The system prototyped in this chapter is based on haiku theory, which is used by the authors in their research, and is rooted in the concept's co-occurrence information and frequency information used to generate a haiku. The method uses statistical information for selecting the words and creating the word network in the haiku. Through the aforementioned methods, the authors created a framework for a system of circulating haiku and stories and proposed a kind of narrative generation with narrative as an input.

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