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Hediye Yarahmadi1, Kwang Il Ryom1, Giuseppe Longobardi2

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Summary
This summary is machine-generated.

Natural language evolution may be driven by disorder, not just efficiency. Syntactic changes, modeled as disordered parameter interactions, explain slow, diverse language shifts and historical linguistic patterns.

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Area of Science:

  • Linguistics
  • Computational Linguistics
  • Theoretical Computer Science
  • Statistical Physics

Background:

  • Traditional linguistic evolution models often prioritize efficiency, yet fail to explain why languages change slowly or diversify.
  • Existing research primarily focuses on lexical data, potentially overlooking the critical role of syntax in language dynamics.
  • The inherent complexity of natural language evolution necessitates exploring alternative drivers beyond pure optimization.

Purpose of the Study:

  • To investigate the hypothesis that disorder, rather than efficiency, is a primary driver of natural language evolution.
  • To develop a computational model explaining diachronic language change based on syntactic parameter interactions.
  • To analyze the 'glassy' dynamics observed in language change and their relationship to syntactic structures.

Main Methods:

  • Reduction of syntax to a set of binary syntactic parameters.
  • Introduction of a computational model simulating diachronic language dynamics through disordered parameter interactions.
  • Analysis of 'phase space' to identify regions exhibiting glassy dynamics, akin to spin glass behavior.
  • Inclusion of a Hopfield-type memory term to explore its effect on syntactic configuration stability.

Main Results:

  • Disordered interactions between syntactic parameters can drive language change, even with consistent external inputs.
  • Binary syntactic vectors exhibit 'glassy' metastable states below a critical asymmetry threshold, mirroring spin glass dynamics.
  • A Hopfield-type memory term can stabilize configurations but reduces the diversity of stable states.
  • A defined linguistic distance metric reveals a phylogenetic signal in related languages despite syntactic divergence.

Conclusions:

  • Disorder in syntactic parameter interactions offers a compelling explanation for the slow and diverse evolution of natural languages.
  • The model successfully replicates observed 'glassy' dynamics and metastable states in language change.
  • The findings suggest that syntactic structure plays a fundamental role in language evolution, with implications for historical linguistics and computational modeling.