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Phonological network fluency identifies phonological restructuring through mental search.

Karl David Neergaard1,2, Jin Luo3, Chu-Ren Huang4

  • 1University of Macau, Department of English, Macau S.A.R., China. karlneergaard@gmail.com.

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Summary
This summary is machine-generated.

This study reveals how bilingualism impacts the mental lexicon. Higher English proficiency improves lexical search efficiency, while greater Chinese dialect fluency restructures phonological networks.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Linguistics

Background:

  • Understanding the mental lexicon's structure is crucial for cognitive science.
  • Verbal fluency tasks probe semantic and phonological memory retrieval.
  • Network science offers novel methods to analyze lexical organization.

Purpose of the Study:

  • To investigate the network principles of mental search using a novel phonological verbal fluency task.
  • To examine how multilingualism influences the phonological mental lexicon.
  • To correlate language background with verbal fluency and lexical network properties.

Main Methods:

  • A phonological verbal fluency task was administered to 95 native Mandarin speakers.
  • Participants produced single-lexical-tone-alternating Mandarin words within one minute.
  • Network science measures assessed lexical item structure, cohesion, and interconnectedness.
  • Multivariate regression analyzed the impact of language background (monolingual/multilingual status, English proficiency, Chinese dialect fluency).

Main Results:

  • Higher English proficiency correlated with lower error rates and increased lexical interconnectedness.
  • Greater fluency in other Chinese languages/dialects was associated with lower successive similarity and network coherence.
  • An inverse relationship was observed between English proficiency and Chinese dialect fluency.

Conclusions:

  • Language background significantly restructures the phonological mental lexicon.
  • Bilingualism, particularly with English, enhances efficient lexical search and network cohesion.
  • Findings provide insights into the neural and cognitive underpinnings of language processing in multilingual individuals.