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Morpheme Analysis Associated with German Noun Plural Endings among Second Language (L2) Learners Using Event-Related Potentials (ERPs)

机译:使用与事件相关的潜力(ERP)与德国名词复数结束的语素分析与德语(L2)学习者相关联(ERP)

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摘要

This paper aims to examine the morpho-syntactic process of noun plural endings, “-n” and “-s”, in adult second language (L2) learners using event-related potentials (ERPs). German noun plural endings consist of many inflectional forms. They are one of the difficulties faced by German L2 learners. We recorded an electroencephalogram (EEG) study of German L2 learners by dividing study subjects into low and high L2 learners according to the learning level. We examined what ERP components were associated with L2 language processing. All participants were Korean German L2 learners who had achieved varying levels of proficiency. As a result of our analysis, we confirmed different morpho-syntactic processing between the two groups. First, N400 was detected at any learning level. It confirmed language processing supportive of the Full-Listing Model for irregular endings. Second, we confirmed left anterior negativity (LAN), as detected in both low and high proficiency L2 learners. LAN is supportive of a Full-Parsing Model for regular endings, as it was detected in both low and high proficiency L2 learners. However, P600 was detected in highly proficient L2 learners only. It implies that high proficiency learners differ from low proficiency L2 learners. P600 is processed in a reparsing process after recognition of grammatical errors. Based on this result, more active use of a Dual Mechanism Model is possible as learning levels improve. It confirms that improvement in L2 learners results in an approach to cognitive processing similar to that of German first language (L1) speakers.
机译:本文旨在使用与事件相关的电位(ERP)来检查成人第二语言(L2)学习者中名词复数,“-N”和“-S”和“-S”的句法过程。德国名词复数结束包括许多折对形式。他们是德国L2学习者面临的困难之一。根据学习级别将研究受试者分成低L2学习者,我们记录了德国L2学习者的脑电图(EEG)研究。我们检查了ERP组件与L2语言处理有关的内容。所有参与者都是韩国德国L2学习者,他们取得了不同的熟练程度。由于我们的分析,我们在两组之间确认了不同的句法处理。首先,在任何学习级别检测到N400。它确认了支持不规则结尾的全列表模型的语言处理。其次,我们确认了左前消极性(LAN),如低熟练程度L2学习者所检测到。 LAN支持常规结尾的全解析模型,因为它在低熟练程度的L2学习者中被检测到。但是,仅在高度熟练的L2学习者中检测到P600。它意味着高熟练学习者与低熟练程度的L2学习者不同。在识别语法错误之后,在归因过程中处理P600。基于该结果,作为学习级别的提高,可以更积极地使用双重机制模型。它证实,L2学习者的改进导致与德国第一语言(L1)扬声器类似的认知处理的方法。

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