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Learning thresholds lead to stable language coexistence

M. V. Tamm1, E. Heinsalu2, S. Scialla2,3, and M. Patriarca2,4

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Phys. Rev. E 111, 024304 – Published 11 February, 2025

DOI: https://doi.org/10.1103/PhysRevE.111.024304

Abstract

We introduce a language competition model that is based on the Abrams-Strogatz model and incorporates the effects of memory and learning in the dynamics of language shift. On a coarse-grained timescale, the effects of memory and learning can be expressed as thresholds on the speakers' fractions of the competing languages. In its simplest form, the resulting model is exactly solvable. Besides the consensus on one of the two languages, the model describes additional equilibrium states that are not present in the Abrams-Strogatz model: a stable dynamical coexistence of the two languages and a frozen state coinciding with the initial state. We show numerically that these results are preserved for threshold functions of a more general shape. The comparison of the model predictions with historical datasets demonstrates that while the Abrams-Strogatz model fails to describe some relevant language competition situations, the proposed model provides a good fitting.

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Phys. Rev. E 111, 024304– Published 11 February, 2025
  • Received 19 June 2024
  • Accepted 7 January 2025
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