[3B1-OS-22a] [Organized Session] OS-22

[3B1-OS-22a-04] A Consideration on a Multiple Approach for Haiku Generation

〇Takuya Ito¹, Kota Igarashi¹, Takashi Ogata¹ (1. Iwate Prefectural University)

Keywords:Haiku, Symbol processing, Deep Learning

The authors have been studying haiku generation by computer. A haiku composed of fragmentary words with, basically, only 17 syllables and haiku generation by computer is an interesting theme. Although there have been various approaches to haiku generation, in this paper, based on our previous haiku generation studies including the following two approaches or methods, the authors present a consideration on the possibility of a unified approach of the top-down generation methods using mainly symbol processing techniques and the bottom-up generation methods using chiefly neural processing such as deep learning techniques.