Conceptual Analysis and Description of Words for Color and Lightness for Grounding them on Sensory Data

• Oda Seio

  Dept. of Electronics and Information Systems, Fukuoka Jr. College of Tech.

• Oda Mariko

  Dept. of Electronics Eng. and Computer Sci., Faculty of Eng., Kurume Institute of Tech.

• Yokota Masao

  Dept. of Industrial Information Eng., Faculty of Information Eng., Fukuoka Institute of Tech.

書誌事項

タイトル別名

• Conceptural Analysis and Description of Words for Color and Lightness for Grounding them on Sensory Data.

抄録

Development of intelligent robots and rapid increase of aged societies have brought serious necessity of such systems that should facilitate mutual translation of sensory data and linguistic expressions. They are expected to help people, especially with some defected sense-organ, by translating sensory data into words such as “Pungent smell is sensed in the refrigerator!”, and otherwise enable people to order a robot to work by words such as “Search the room for a varicolored object.” For the purpose to develop such a system, the authors have recently analyzed and described the concepts of Japanese words for “color” and “lightness” based on MIDST(Mental image directed semantic theory) proposed by Yokota, M. et al. The analysis and description of the word concepts were performed approximately in the process as follows. Firstly, each word representing a specific color or lightness(“赤(=red)”, “暗(=dark)”, etc) was associated with a set of specific coordinates (point or range) of the color solid and its concept was defined as such a set of coordinates. Secondly, the words concerning temporal change or spatial distribution of color or lightness(“赤らむ(=redden)”, “ぼかす(=gradate)”, etc) were described as spatiotemporal relations among coordinates of the color solid. Thirdly, a computer system working with image input devices was constructed in order to ground words on real sensory data of color and lightness via the coordinates of the color solid in an interactive way with a human instructor, and has been found a fairly good success.

収録刊行物

• 人工知能学会論文誌

  人工知能学会論文誌 16 436-444, 2001

  一般社団法人 人工知能学会

キーワード

• natural language
• concept analysis
• concept description
• mental image
• sensory data

詳細情報

• CRID: 1390282680083474048
• NII論文ID: 10015770318
• NII論文ID: 30009884212
• NII書誌ID: AA11579226
• DOI: 10.1527/tjsai.16.436
• ISSN: 13468030
• ISSN: 13460714
• NDL書誌ID: 5987731
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I5987731
• Web Site: http://www.jstage.jst.go.jp/article/tjsai/16/5/16_5_436/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可