Interfaces And Features In Second Language Acquisition

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Interfaces and Features in Second Language Acquisition

Interfaces and Features in Second Language Acquisition
Author :
Publisher : Springer Nature
Total Pages : 308
Release :
ISBN-10 : 9789811986291
ISBN-13 : 9811986290
Rating : 4/5 (290 Downloads)

Book Synopsis Interfaces and Features in Second Language Acquisition by : Jia Wang

Download or read book Interfaces and Features in Second Language Acquisition written by Jia Wang and published by Springer Nature. This book was released on 2023-02-11 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents comprehensive and rigorous research on the acquisition of Chinese negation by L1-English and L1-Korean learners within the theoretical framework of the Interface Hypothesis and the Feature Reassembly Hypothesis. The results from grammaticality judgment data (N=182) and learner corpus data (overall scale: 15.19 million characters) reveal multiple factors contributing to the variability in L2 acquisition at the interfaces involved with Chinese negative structures, including L1 influence, the quantity (input frequency) and the quality of the target input (input consistency and regularity), as well as L2 proficiency. These factors also underlie the detectability and reassembly of the [±realis] features encoded with bu and mei, the two primary negation markers in Mandarin Chinese, in different licensing contexts. Task modality (written vs. aural) seems to play a role in L2 learners’ access to explicit and implicit knowledge about Chinese negation, but the effect of task modality is constrained by other factors such as structural/feature complexity, L2 proficiency, and L1-L2 similarity. The approach of employing both elicited experimental data and authentic learner corpus data furnishes new evidence for the acquisition Chinese negation by L2 learners. The findings of this study are of significance to the examination of the Interface Hypothesis and the Feature Reassembly Hypothesis in generative-oriented SLA research.


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