The Sensorimotor Norms for the Chinese Classifiers

Yimei Shao (Corresponding Author), Yu Yin Hsu, Chu Ren Huang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Sensorimotor norms have been developed in different languages for research on the relationship between perceptual and conceptual systems. This paper sets up the first sensorimotor norms for 192 Chinese classifiers. For each word, we report values for the following 11 dimensions: vision, hearing, taste, smell, touch, interoception and foot/leg, hand/arm, head excluding mouth, mouth/throat, and torso. The results indicate that the cognitive encoding implicit in Chinese classifiers is largely related to external visual feature and internal feeling. These norms will aid in further exploring the semantic relationship between classifiers and nouns and contribute to studying the influence of perceptual information on word processing and grounded cognition.

Original languageEnglish
Title of host publicationChinese Lexical Semantics
Subtitle of host publication25th Workshop, CLSW 2024, Xiamen, China, May 31 – June 2, 2024, Revised Selected Papers, Part I
EditorsPeng Jin, Qi Su, Jia-Fei Hong
PublisherSpringer Science and Business Media Deutschland GmbH
Pages241-254
Number of pages14
ISBN (Electronic)9789819635092
ISBN (Print)9789819635085
DOIs
Publication statusPublished - 27 Mar 2025
Event25th Workshop on Chinese Lexical Semantics, CLSW 2024 - Xiamen, China
Duration: 31 May 20242 Jun 2024

Publication series

NameLecture Notes in Computer Science
Volume15552 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th Workshop on Chinese Lexical Semantics, CLSW 2024
Country/TerritoryChina
CityXiamen
Period31/05/242/06/24

Keywords

  • Chinese Classifier
  • Embodied Cognition
  • Sensorimotor Norms

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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