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Updated: Nov 30, 2025

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
Published on: April 1, 2016
Basic color categories in Mandarin Chinese revealed by cluster analysis.
Tsuei-Ju Tracy Hsieh1,2, Ichiro Kuriki3,4, I-Ping Chen5,6
1Department of Information Communication, Chinese Culture University, Taipei, Taiwan.
Modern Mandarin Chinese speakers have 11 basic color categories, aligning with international standards. This study used cluster analysis to confirm consistent color term usage, revealing cross-linguistic similarities in basic color terms across cultures.
Area of Science:
- Cognitive Science
- Linguistics
- Psychology
Background:
- Previous research on Mandarin Chinese basic color terms lacked objective evaluation methods, leading to conflicting findings.
- Understanding basic color terms is crucial for cross-cultural communication and cognitive research.
Purpose of the Study:
- To objectively determine the number of basic color categories in modern Mandarin Chinese using statistical analysis.
- To investigate the consistency and precision of Mandarin color terms compared to other languages.
Main Methods:
- Applied k-means cluster analysis to color naming data from native Mandarin Chinese speakers using 330 color chips.
- Utilized motif and group mutual information analysis for cross-linguistic comparisons.
Main Results:
- Confirmed 11 basic color categories among Mandarin speakers in Taiwan, with high observer agreement.
- Demonstrated significant cross-language similarity in color category distribution with American English and Japanese data.
- Mandarin color terms exhibit similar precision in communicating color information as English and Japanese.
Conclusions:
- Modern Mandarin Chinese possesses 11 basic color categories, consistent with international findings.
- Despite cultural and historical differences, Mandarin, English, and Japanese share remarkably similar basic color terms.
- This suggests a universal basis for basic color perception and categorization across diverse languages.
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