Frequency over semantic richness: word recognition in non-native English speakers

IF 2.5 1区 文学 Q1 LINGUISTICS
Agata Dymarska
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引用次数: 0

Abstract

Recognition of a word and its meaning benefits from the sensorimotor information about concepts. However, this phenomenon has been underexplored in second-language (L2) speakers who may rely on more “shallow” representations. Using a megastudy dataset, I investigated how sensorimotor strength affects first-language (L1) and L2 word recognition performance. Bayesian hierarchical regressions revealed that variables associated with physical sensations (interoceptive strength, motor action) and communication experience (head or mouth movement, auditory strength) produced strong effects in both groups. On the other hand, variables associated with concrete objects (visual, haptic experience) and with taste/smell (olfactory, gustatory experience) influenced L1 word recognition performance to a larger extent than in L2. In L2, reliance on semantic information during word recognition was reduced, with stronger effects of lexical variables compared to L1. The findings provide implications for understanding L2 processing mechanisms and demonstrate the usefulness of megastudy datasets in investigating L2 conceptual representations.
频率高于语义丰富度:非英语母语者的单词识别
单词及其含义的识别得益于概念的感觉运动信息。然而,这种现象在第二语言(L2)使用者中尚未得到充分研究,因为他们可能更依赖于“浅层”表征。使用一个大型研究数据集,我研究了感觉运动强度如何影响第一语言(L1)和第二语言的单词识别性能。贝叶斯层次回归显示,与身体感觉(内感受强度、运动动作)和交流经验(头部或嘴部运动、听觉强度)相关的变量在两组中都产生了强烈的影响。另一方面,与具体物体相关的变量(视觉、触觉经验)和与味觉/嗅觉相关的变量(嗅觉、味觉经验)对母语单词识别的影响程度大于第二语言。在第二语言中,词汇变量对单词识别的依赖程度比第一语言低,词汇变量的影响更大。研究结果为理解二语加工机制提供了启示,并证明了大研究数据集在研究二语概念表征方面的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.90
自引率
16.70%
发文量
86
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