A computational model of semantic convergence in bilinguals

Shin Yi Fang, Benjamin D. Zinszer, Barbara C. Malt, Ping Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Patterns of object naming were influenced by the language of the people used. In this study, we aimed to simulate the bilinguals' naming patterns and investigate the underlying mechanisms. Our results replicated the empirical findings that (1) bilingual speakers develop converged naming patterns in their two languages that are distinct from those of monolingual speakers of each language and (2) how the bilingual semantic convergence was manifested in their lexical representations. We also demonstrated that both orthography and connections between two languages are important to establish converged naming patterns in bilinguals. Furthermore, our modeling data suggested that the strength of name agreement in the two languages are involved in the cooperation and competition relationships on the object naming. Our model provides a foundation for examining the factors contributed to the patterns of object naming in bilinguals.

Original languageEnglish
Title of host publicationProceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling
EditorsDavid Reitter, Frank E. Ritter
PublisherThe Pennsylvania State University
Pages256-257
Number of pages2
ISBN (Electronic)9780998508207
Publication statusPublished - 2016
Externally publishedYes
Event14th International Conference on Cognitive Modeling, ICCM 2016 - University Park, United States
Duration: 3 Aug 20166 Aug 2016

Publication series

NameProceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling

Conference

Conference14th International Conference on Cognitive Modeling, ICCM 2016
Country/TerritoryUnited States
CityUniversity Park
Period3/08/166/08/16

Keywords

  • Bilingual lexicon
  • Lexical categories
  • Modeling
  • Object naming
  • Self-organizing map

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modelling and Simulation

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