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Two mathematically defined expressive language structures in humans and chimpanzees

R Langs1, A F Badalamenti, S Savage-Rumbaugh

  • 1Nathan S. Kline Institute for Psychiatric Research, Orangeburg, N.Y., USA.

Behavioral Science
|April 1, 1996
PubMed
Summary
This summary is machine-generated.

Researchers discovered two mathematical structures in human and chimpanzee language. These findings reveal deep, natural, and unlearned expressive language capabilities in apes comparable to humans.

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Area of Science:

  • Linguistics
  • Cognitive Science
  • Mathematical Biology

Background:

  • Human language exhibits complex structures, but the evolutionary origins and innate properties of these structures remain debated.
  • Comparative studies between humans and non-human primates offer insights into the evolution of communication.

Purpose of the Study:

  • To identify and mathematically characterize fundamental expressive language structures in humans and chimpanzees.
  • To investigate the natural, unlearned basis of these language structures.

Main Methods:

  • Analysis of word/symbol invocation patterns using waiting time measurements to identify Poisson processes.
  • Calculation of cumulative informational complexity (entropy) in word usage to reveal logarithmic functions.
  • Comparative analysis of mathematical structures across individuals and species, including human poets.

Main Results:

  • Two distinct mathematical structures were identified in expressive language: a Poisson process for word invocation and a logarithmic function for informational complexity.
  • Individual and species-specific variations in adherence to these mathematical laws were observed.
  • Ape language structures showed mathematical similarities to those of human poets, such as Shakespeare.

Conclusions:

  • Apes possess deep, natural, and unlearned expressive language structures comparable to humans.
  • These findings suggest a shared evolutionary basis for complex expressive language in humans and great apes.
  • Mathematical analysis provides a powerful tool for understanding the fundamental principles of language across species.