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Related Experiment Video

Updated: May 8, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Front speed of language replacement.

Joaquim Fort¹, Joaquim Pérez-Losada

¹Complex Systems Laboratory and Departament de Física, Universitat de Girona, Catalonia, Spain. joaquim.fort@udg.edu

|August 21, 2013

Summary

This summary is machine-generated.

This study introduces a new cohabitation model for analyzing language dynamics, finding linguistic factors significantly influence language spread more than population changes. The model accurately predicts English language spread in Wales.

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Published on: June 25, 2019

Area of Science:

Sociolinguistics
Mathematical Biology
Computational Social Science

Background:

Classical models of language spread do not account for cohabitation.
Understanding language dynamics is crucial for predicting language replacement and its societal impacts.

Purpose of the Study:

To develop and validate a novel cohabitation model for analyzing the spatiotemporal dynamics of interacting languages.
To quantify the front speed of language spread using numerical simulations and analytical solutions.
To investigate the relative importance of linguistic parameters versus demographic factors in language replacement.

Main Methods:

Developed a cohabitation model based on two coupled equations.
Employed numerical simulations to determine the speed of language front propagation.
Derived an analytical formula for a special case to validate simulation results.
Applied the model to the historical spread of English in Wales (1961-1981).

Main Results:

The cohabitation model provides a more accurate representation of human language dynamics.
Numerical simulations yielded a front speed for language spread, validated by an analytical formula.
Model predictions for English language spread in Wales (1961-1981) showed consistency.
Linguistic parameters were found to be more influential than population dispersal and reproduction parameters.
Initial population densities of interacting languages did not affect front speed when similar.

Conclusions:

The developed cohabitation model effectively analyzes language replacement dynamics.
Linguistic features play a dominant role in language spread compared to demographic factors.
The model has potential applications in studying the parallels between language and genetic replacement.