Conceptual Spaces and Semantic Similarities of Colors

The paper presents a statistical evaluation of the typological data about color naming systems across the languages of the world that have been obtained by the World Color Survey. In a first step, we discuss a singular value decomposition of the categorization data that led to a small set of easily interpretable features dominant in color categorization. These features were used for a dimensionality reduction of the categorization data. Using the thus preprocessed categorization data, we proceed to show that the available typological data support the hypothesis by the cognitive scientist Peter Gärdenfors that the extension of color category are convex sets in the CIELab space in the languages of the world.

• Publication year

  2020

• Venue

  Unknown venue

• Publication date

  2020-11-04

• Fields of study

  Computer Science, Linguistics, Psychology

• Identifiers
  DOI 10.1002/9781118788516.sem060
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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