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Graphic complexity in writing systems.

Helena Miton1, Olivier Morin2

  • 1Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA; Minds and Traditions Research Group, Max Planck Institute for the Science of Human History, Jena, Germany.

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Summary
This summary is machine-generated.

Written character complexity is determined by the linguistic unit encoded, not evolution. Early parts of characters are more complex for easier recognition.

Keywords:
Cultural evolutionGraphic complexityLateralityLettersVisual complexityWriting systems

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Area of Science:

  • Linguistics
  • Cognitive Science
  • Computer Science

Background:

  • Writing systems are graphic codes linking symbols to meanings.
  • The visual nature of characters necessitates optimization for human perception.
  • Graphic complexity is a key aspect of character design in writing scripts.

Purpose of the Study:

  • To investigate factors determining character complexity in writing systems.
  • To explore evidence of evolutionary changes in character complexity.
  • To analyze the distribution of complexity for optimal character recognition.

Main Methods:

  • Computational analysis of a large dataset (>47,000 characters) from diverse scripts (>133).
  • Examination of relationships between character complexity and linguistic units.
  • Assessment of complexity patterns across scripts and within individual characters.

Main Results:

  • Character complexity is primarily determined by the linguistic unit (e.g., phoneme, syllable) it encodes.
  • Little evidence suggests significant evolutionary change in character complexity over time.
  • The initial visual half of a character tends to be more complex than the latter half.

Conclusions:

  • Linguistic function, not historical evolution, is the main driver of character complexity.
  • Complexity distribution within characters may aid visual processing and recognition.
  • Writing systems are optimized for efficient human visual perception.