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An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing
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Language change in a multiple group society.

Cristina-Maria Pop1, Erwin Frey

  • 1Arnold Sommerfeld Center for Theoretical Physics and Center for NanoScience, Department of Physics, Ludwig-Maximilians-Universität München, Theresienstrasse 37, 80333 München, Germany.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 17, 2013
PubMed
Summary
This summary is machine-generated.

This study models language change in multi-group speech communities using an extended utterance selection model. It reveals how group interaction strength and size influence linguistic variant propagation and consensus, with interlocutor influence mitigating segregation.

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Area of Science:

  • Sociolinguistics
  • Computational Linguistics
  • Mathematical Modeling

Background:

  • Language change arises from various factors, including convention agreement and social group identification.
  • Linguistic variants compete within speech communities, influenced by inter-group dynamics.
  • The utterance selection model previously described intra-group speaker interactions and variant fixation.

Purpose of the Study:

  • To extend the utterance selection model to a multi-group speech community.
  • To investigate how inter-group interactions affect linguistic variant propagation and distribution.
  • To understand the role of group partitioning and interaction strength in language change dynamics.

Main Methods:

  • Developed a mathematical model for a speech community comprising multiple interacting groups.
  • Analyzed the utterance selection model within a multi-group framework.
  • Tuned interaction strength between groups to observe effects on variant propagation.

Main Results:

  • Identified scaling behaviors in group size and number of groups with two asymptotic regimes.
  • Found that strong group connections lead to standard utterance selection model dynamics.
  • Weak group coupling results in system size and coupling magnitude governing consensus.
  • High interlocutor influence can counteract group segregation.

Conclusions:

  • Group partitioning and interaction strength significantly shape linguistic variant propagation and distribution.
  • The model provides insights into how language change occurs in complex, multi-group societies.
  • Interlocutor influence emerges as a key factor in maintaining linguistic diversity or promoting homogeneity.