A Text-based Automatic Waka Generation System using Kansei

Abstract

In this paper, we propose an automatic Waka generation system with custom database, based on texts given by the user. The proposed text-based system has better compatibility with Waka poem, improving consistence and logicality of generated poems. Kansei information is also considered to make poems natural and closer to the emotions the user wants to express. Presented by interactive generation experiments, the proposed system can generate Waka poems reflecting stylistic and grammatical requirements. Meanwhile, the poems are also with related meanings and emotions to the original text and some poeticness.