- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Haiku Generation From Narratological Perspective
-
- Jumpei Ono
- Aomori University, Japan
-
- Takashi Ogata
- Iwate Prefectural University, Japan
Bibliographic Information
- Other Title
-
- A Circulation Between Haikus and Stories
Search this article
Description
<jats:p>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. </jats:p>
Journal
-
- Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation
-
Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation 249-265, 2021
IGI Global
- Tweet
Details 詳細情報について
-
- CRID
- 1360009142835390208
-
- ISSN
- 23281324
- 23281316
-
- Article Type
- journal article
-
- Data Source
-
- Crossref
- KAKEN