Efficient compression in color naming and its evolution

Abstract

Semantic typology documents and explains how languages vary in their structuring of meaning. Information theory provides a formal model of communication that includes a precise definition of efficient compression. We show that color-naming systems across languages achieve near-optimal compression and that this principle explains much of the variation across languages. These findings suggest a possible process for color category evolution that synthesizes continuous and discrete aspects of previous accounts. The generality of this principle suggests that it may also apply to other semantic domains.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 18, 2018
Source ID
10.1073/pnas.1800521115

Entities

People

  • Charles Kemp
  • Naftali Tishby
  • Noga Zaslavsky
  • Terry Regier

Organizations

  • Carnegie Mellon University
  • Defense Threat Reduction Agency
  • Hebrew University of Jerusalem

Tags

Readers

  • Computer Science.
  • Distributed Systems and Data Platform Development
  • Vision Science/Vision Psychology/Cognitive Neuroscience.