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Towards a new model of semantic processing: Task-specific effects of concreteness and semantic neighbourhood density in visual word recognition.

机译:建立一种新的语义处理模型:视觉单词识别中具体性和语义邻域密度的特定任务效果。

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摘要

According to data from three tasks, Danguecan & Buchanan (2014) demonstrated that semantic neighbourhood density (SND; Buchanan, Westbury, & Burgess, 2001) interacts with concreteness to influence visual word recognition response times (RTs). Importantly, these data suggest that the behavioural effects of these semantic variables are differentially impacted by task demands. The goal of the present study was to more precisely chart the flexibility of semantic processing by comparing recognition RTs of words (varying in concreteness and SND) across seven tasks with different explicit semantic requirements. The data show that linguistic associative information is particularly critical for abstract as compared to concrete concepts. These findings are discussed within the context of a new model of semantic processing, known as the Flexible Semantic Processing Hypothesis.
机译:根据三个任务的数据,Danguecan&Buchanan(2014)证明语义邻域密度(SND; Buchanan,Westbury,&Burgess,2001)与具体性相互作用,影响视觉单词识别响应时间(RTs)。重要的是,这些数据表明这些语义变量的行为影响受任务需求的影响不同。本研究的目的是通过比较具有不同显式语义要求的七个任务中单词的识别RT(具体性和SND有所不同),从而更精确地绘制语义处理的灵活性。数据表明,与具体概念相比,语言联想信息对于抽象尤为重要。这些发现是在一种新的语义处理模型(称为“灵活语义处理假说”)的背景下进行讨论的。

著录项

  • 作者

    Danguecan, Ashley N.;

  • 作者单位

    University of Windsor (Canada).;

  • 授予单位 University of Windsor (Canada).;
  • 学科 Cognitive psychology.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 174 p.
  • 总页数 174
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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