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Related Experiment Video

Updated: Nov 12, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Sources of Microtemporal Clustering in Sociolinguistic Sequences.

Meredith Tamminga1

  • 1Department of Linguistics, University of Pennsylvania, Philadelphia, PA, United States.

Frontiers in Artificial Intelligence
|March 18, 2021
PubMed
Summary

Speakers repeat linguistic choices due to sequential dependence or shifting contexts (baseline deflection). This study shows both mechanisms are needed to explain longer speech patterns, advancing sociolinguistic variation research.

Keywords:
corpuspersistenceprimingsimulationsociolinguisticsstyle-shifting

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Area of Science:

  • Sociolinguistics
  • Psycholinguistics
  • Corpus Linguistics

Background:

  • Persistence in speech refers to repeating a sociolinguistic variant choice.
  • A key debate questions if this repetition stems from direct sequential influence or shared contextual factors.

Purpose of the Study:

  • To differentiate between sequential dependence and baseline deflection in explaining speech persistence.
  • To analyze longer sequences of sociolinguistic variation beyond typical prime-target pairs.

Main Methods:

  • Analyzed corpus data of conversational speech, specifically the /ing/ variant.
  • Developed simulations using Bernoulli trials to model sequential dependence and baseline deflection mechanisms.
  • Compared model predictions with corpus data properties.

Main Results:

  • Identified two key effects: the frequency of the /ing/ variant in prior tokens and the status of the immediately preceding token.
  • Found that models incorporating both baseline deflection and sequential dependence best replicate observed corpus data patterns.

Conclusions:

  • Both sequential dependence and baseline deflection appear to be active mechanisms in producing sociolinguistic variation.
  • This exploratory analysis of longer sequences offers a promising avenue for future research into speech production mechanisms.