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Classification of J apanese Texture Terms
Author(s) -
Hayakawa Fumiyo,
Kazami Yukari,
Nishinari Katsuyoshi,
Ioku Kana,
Akuzawa Sayuri,
Yamano Yoshimasa,
Baba Yasumasa,
Kohyama Kaoru
Publication year - 2013
Publication title -
journal of texture studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.593
H-Index - 54
eISSN - 1745-4603
pISSN - 0022-4901
DOI - 10.1111/jtxs.12006
Subject(s) - texture (cosmology) , onomatopoeia , term (time) , artificial intelligence , computer science , vocabulary , meaning (existential) , mathematics , variety (cybernetics) , natural language processing , pattern recognition (psychology) , linguistics , psychology , image (mathematics) , philosophy , physics , quantum mechanics , psychotherapist
A total of 445 J apanese texture terms were classified. First, terms with almost the same meaning represented by different C hinese characters, and onomatopoeic words derived from the same sound were classified into same‐term groups for a total of 271 term groups. Next, eight experts in texture studies categorized the 271 term groups into the three texture attributes proposed by the I nternational S tandard O rganization ( ISO 11036): mechanical attributes, geometrical attributes and other attributes. Term groups were compared within each of the three attributes, and their similarities were assessed by 96 texture scientists/technologists. The data were analyzed by multidimensional scaling and cluster analysis. The classification in this study showed some similarities with the classification of texture terms in other languages. However, the results also revealed some characteristics that were unique to J apanese texture vocabulary, such as a wide variety of terms concerned with stickiness and elasticity. Practical Applications Developing a comprehensive list of texture terms in every language is necessary for comparing terms between languages, as well as for sensory evaluation within each language. The data obtained in this study can be applied to preliminary lexicons of descriptive sensory evaluation of texture. Classification of texture terms helps sensory evaluation researchers to define descriptors and to train panelists. The data also provide useful clues for worldwide understanding of Japanese texture terms.