母语和非母语学习中的个体差异预测:BLC 理论的更新

IF 0.9 0 LANGUAGE & LINGUISTICS
Languages Pub Date : 2024-05-10 DOI:10.3390/languages9050173
Jan Hulstijn
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引用次数: 0

摘要

BLC 理论认为,语言能力(母语者和非母语者)的个体差异(IDs)很难用单一的能力量表来反映。相反,个体差异最好从两个根本不同的维度来理解和研究:(1) 口头语言认知(接受性和生产性语音处理)和 (2) 书面语言认知(阅读和写作)。本文对 BLC 理论进行了更新,将其置于非挪用论、基于使用的神经网络元理论之下,将语言视为一个复杂的系统。本文分别对母语者和非母语者在口语和书面领域是否存在 ID 进行了预测。该理论预测,执行功能、非语言记忆和智力等认知因素会对母语和非母语人士掌握阅读和写作技能产生积极影响,但这些因素在母语和非母语人士掌握语音处理技能方面却不起重要作用。与民间智慧相反,一个人并不需要特别聪明,就能学会理解和用非母语进行语音表达。关注儿童的母语和标准识字语言之间的类型差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictions of Individual Differences in the Acquisition of Native and Non-Native Languages: An Update of BLC Theory
BLC Theory proposes that individual differences (IDs) in language proficiency (in both native and non-native speakers) can poorly be mapped on a single proficiency scale. Instead, IDs can best be understood and studied in terms of two fundamentally different dimensions: (1) the cognition of oral language (receptive and productive speech processing) and (2) the cognition of the written language (reading and writing). This paper presents an update of BLC Theory placed under a non-nativist, usage-based, neural-network metatheory of language as a complex system. The paper includes predictions for the absence or presence of IDs in the oral and written domains, separately for native and non-native speakers. The theory predicts that while cognitive factors such as executive functions, non-verbal memory, and intelligence positively affect the acquisition of reading and writing skills in both native and non-native speakers, they do not play a significant role in the acquisition of speech processing in either native or non-native speakers. Contrary to folk wisdom, one does not need to be particularly intelligent to learn to understand and produce speech in a non-native language. Attention is given to typological differences between children’s home language(s) and the standard language(s) of literacy.
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来源期刊
Languages
Languages Arts and Humanities-Language and Linguistics
CiteScore
1.40
自引率
22.20%
发文量
282
审稿时长
11 weeks
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