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Network structure influences speech production.

Kit Ying Chan1, Michael S Vitevitch

  • 1Department of Psychology, University of Kansas.

Cognitive Science
|May 14, 2011
PubMed
Summary
This summary is machine-generated.

The structure of word neighbors, measured by clustering coefficient, impacts spoken word production. Higher clustering leads to more speech errors and slower picture naming, showing lexicon structure influences word retrieval.

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Area of Science:

  • Cognitive Science
  • Psycholinguistics
  • Network Science

Background:

  • Network science offers novel perspectives on cognitive processes by analyzing complex system structures.
  • The clustering coefficient, a network metric, quantifies interconnectedness among phonological neighbors in psycholinguistics.

Purpose of the Study:

  • To investigate how the clustering coefficient influences spoken word production.
  • To examine the relationship between lexical network structure and speech errors/naming times.

Main Methods:

  • Analysis of a corpus of speech errors.
  • Conducting a picture-naming task to assess word production speed.
  • Quantifying the clustering coefficient for target words.

Main Results:

  • Speech errors were more frequent for words with higher clustering coefficients (more interconnected neighbors).
  • Picture naming was slower for words with high clustering coefficients compared to those with low clustering coefficients.
  • Lexical structure, specifically neighbor interconnectedness, demonstrably affects spoken word production.

Conclusions:

  • The structural organization of the lexicon significantly influences lexical access during spoken word production.
  • Findings support the role of network properties in cognitive processes like speech.
  • Clustering coefficient serves as a valuable metric for understanding psycholinguistic phenomena.