A System to Generate Onomatopoeia Corresponding to User's Impressions

• Shimizu Yuichiro

  Graduate School of Informatics and Engineering, The University of Electro-Communications

• Doizaki Ryuichi

  Graduate School of Informatics and Engineering, The University of Electro-Communications

• Kagitani Tatsuki

  Graduate School of Informatics and Engineering, The University of Electro-Communications

• Sakamoto Maki

  Graduate School of Informatics and Engineering, The University of Electro-Communications

Bibliographic Information

Other Title

• ユーザの感性的印象に適合したオノマトペを生成するシステム
• A System to Generate Onomatopoeia Corresponding to User^|^apos;s Impressions

Abstract

The present study proposes a method which generates Japanese onomatopoeia corresponding to impressions inputted by users. Japanese onomatopoeia is frequently used in comics and advertisements. Effective onomatopoeia in those fields are directly associated with sensuous experiences of readers or consumers, but it is very difficult to create such expressions. Therefore, the system which generates effective novel onomatopoeia corresponding to the impression specified by users has been expected to be as a technology which supports creators. Our system uses 43 SD scales as those expressing our intuitive impressions. These scales consist of scales expressing impressions of a haptic senses, visual senses and affective senses. Users of the system can choose the kinds of SD scales to be used to create onomatopoeia among from 1 to 43 SD scales. The system uses the genetic algorithm (GA) to create onomatopoeia corresponding to inputted impressions. We consider onomatopoeic expressions as a individuals of GA, which are expressed by an array of numerical values. Namely, each numerical value of an individual denotes each phonological symbol in Japanese. By comparing impressions inputted by user with those of each generated onomatopoeia, the system proposes onomatopoeia corresponding to impressions of users. The system evaluation showed that impressions of onomatopoeic expressions generated by our system were similar to the impressions inputted by users.

Journal

• Transactions of the Japanese Society for Artificial Intelligence

  Transactions of the Japanese Society for Artificial Intelligence 30 (1), 319-330, 2015

  The Japanese Society for Artificial Intelligence

Keywords

• generative system
• onomatopoeia
• impression
• sound symbolism
• genetic algorithm

Details

• CRID: 1390001205107981952
• NII Article ID: 130004927350
• DOI: 10.1527/tjsai.30.319
• ISSN: 13468030
• ISSN: 13460714
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed