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Electrophysiology of Non-Native Language Acquisition and Attrition

Electrophysiology of Non-Native Language Acquisition and Attrition
非母语习得和消耗的电生理学
批准号:
1261501
负责人:
Lee Osterhout
金额:
$45.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-06-15 至 2017-11-30

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中文摘要
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英文摘要
Global changes in transportation and communication have placed a premium on the ability to speak two or more languages. However, learning a third language (L3) can interfere with the learner's proficiency in a previously acquired second (L2) language, a phenomenon referred to as language attrition. Fundamental questions about why languages attrite, how they attrite, and what aspects of language are most susceptible to attrition remain unanswered. This proposal seeks to better understand how the learning of a new language (L3) can interfere with the learner's proficiency with a previously acquired non-native language (L2), in the context of real-world language learning among college students. Dr. Lee Osterhout, from the University of Washington, will perform three experiments using a high density EEG-based brain activity measure to longitudinally investigate changes in learners' ability to process sentences in their L3 (Italian) and in their L2 (a similar language, Spanish, or a less similar language, such as Japanese). Because the brain activity measure is differentially sensitive to aspects of linguistic meaning and grammar, the results will provide a specific understanding of what linguistic knowledge (for both the L2 and L3) has been gained or lost, and how the acquisition of one language influences the loss of another.Given the importance of multi-lingual skills in the modern, inter-connected world, a better understanding of the causes of language attrition will have broad impact. Findings from this project may lead to ways to improve and customize instructional pedagogy with respect to language learning, and to protect previously acquired foreign languages. This project will generate a large data set with broad relevance. Potentially, this data set could be used to study the spatial origins of language-sensitive brain responses, test new mathematical and computational tools for high-density EEG-based brain source imaging, and address the fundamental question of how brain activity, at the temporal scale of milliseconds and from multiple brain regions, changes as a result of learning and "unlearning" outside of the laboratory.
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Doctoral dissertation research: The Effects of Syntactic Complexity on Native and Nonnative Agreement Processing: An Event-Related Potentials Investigation
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