A close call: Interference from semantic neighbourhood density and similarity in language production.

The present study investigated how lexical selection is influenced by the number of semantically related representations (semantic neighbourhood density) and their similarity (semantic distance) to the target in a speeded picture-naming task. Semantic neighbourhood density and similarity as continuo...

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Publicado en:Memory & Cognition Vol. 47; no. 1; pp. 145 - 169
Autores principales: Fieder, Nora, Wartenburger, Isabell, Abdel Rahman, Rasha
Formato: Artículo
Publicado: Springer Nature Jan2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A close call: Interference from semantic neighbourhood density and similarity in language production.
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        au:
          Fieder, Nora
          Wartenburger, Isabell
          Abdel Rahman, Rasha
        affil:
          Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Rudower Chaussee 18, 12489, Berlin, Germany
          ARC Centre of Excellence for Cognition and Its Disorders (CCD), Department of Cognitive Science, Macquarie University, Sydney, Australia
          Department of Linguistics, Cognitive Sciences, University of Potsdam, Potsdam, Germany
          Department of Psychology, Humboldt-Universität zu Berlin, Rudower Chaussee 18, 12489, Berlin, Germany
      su:
        Semantics
        Task performance
        Phonological awareness
      sug:
        subj:
          Semantics
          Task performance
          Phonological awareness
      keyword:
        Language production
        Lexical selection
        Semantic neighbours
        Semantic processing
        Language production
        Lexical selection
        Semantic neighbours
        Semantic processing
      ab: The present study investigated how lexical selection is influenced by the number of semantically related representations (semantic neighbourhood density) and their similarity (semantic distance) to the target in a speeded picture-naming task. Semantic neighbourhood density and similarity as continuous variables were used to assess lexical selection for which competitive and noncompetitive mechanisms have been proposed. Previous studies found mixed effects of semantic neighbourhood variables, leaving this issue unresolved. Here, we demonstrate interference of semantic neighbourhood similarity with less accurate naming responses and a higher likelihood of producing semantic errors and omissions over accurate responses for words with semantically more similar (closer) neighbours. No main effect of semantic neighbourhood density and no interaction between semantic neighbourhood density and similarity was found. We assessed further whether semantic neighbourhood density can affect naming performance if semantic neighbours exceed a certain degree of semantic similarity. Semantic similarity between the target and each neighbour was used to split semantic neighbourhood density into two different density variables: The number of semantically close neighbours versus distant neighbours. The results showed a significant effect of close, but not of distant, semantic neighbourhood density: Naming pictures of targets with more close semantic neighbours led to longer naming latencies, less accurate responses, and a higher likelihood for the production of semantic errors and omissions over accurate responses. The results show that word inherent semantic attributes such as semantic neighbourhood similarity and the number of coactivated close semantic neighbours modulate lexical selection supporting theories of competitive lexical processing.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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