Revisiting bilingual processing: insights from L1 transfer in L2 acquisition

IF 2.3 2区心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY

Brain and Language Pub Date : 2025-09-30 DOI:10.1016/j.bandl.2025.105645

Huanhuan Yin, Martin J. Pickering

引用次数: 0

Abstract

MacWhinney’s (1992) Competition Model proposes that L2 learners do not start from scratch but instead build on pre-existing L1 phonological, lexical, and syntactic representations. This approach eases the learning process yet leaves enduring traces from L1 transfer in the bilinguals’ L2 lexicon, which may influence adult language processing. In this paper, we review psycholinguistic findings on bilingual comprehension and production and propose that many effects traditionally seen as evidence of on-line cross-language activation might instead reflect the long-term impact of L1 transfer during L2 learning. This perspective helps bridge the gap between research on bilingual processing at different time scales.

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重新审视双语加工：来自二语习得中母语迁移的见解。

MacWhinney（1992）的竞争模型提出，二语学习者不是从零开始，而是建立在已有的母语语音、词汇和句法表征上。这种方法简化了学习过程，但在双语者的第二语言词汇中留下了持久的母语迁移痕迹，这可能会影响成人的语言加工。在本文中，我们回顾了关于双语理解和产生的心理语言学研究结果，并提出许多传统上被视为在线跨语言激活证据的影响可能反映了二语学习过程中母语迁移的长期影响。这一观点有助于弥合不同时间尺度双语加工研究之间的差距。

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

Brain and Language 医学-神经科学

CiteScore

4.50

自引率

8.00%

发文量

审稿时长

20.5 weeks

期刊介绍： An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.