ERIC Number: EJ1484517
Record Type: Journal
Publication Date: 2025-Sep
Pages: 36
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0023-8333
EISSN: EISSN-1467-9922
Available Date: 2024-09-19
Neural Evidence for Syntactic Unification in Second Language Sentence Comprehension: A Time-Frequency Analysis
Yoonsang Song1; Yu Li2,3; Patrick C. M. Wong4,5
Language Learning, v75 n3 p735-770 2025
This study investigates whether syntactic unification occurs during online L2 sentence comprehension using time-frequency analysis. We measured the oscillatory power changes in native English speakers and L1-Cantonese L2-English speakers while they were reading well-formed English sentences, syntactically intact nonsense sentences, and random word lists. Additionally, we conducted traditional ERP analyses to test L2 speakers' sensitivity to NP-internal number (dis)agreement. The results show that low-beta power significantly increased in the L2 group when reading not only well-formed sentences but also nonsense sentences, replicating the pattern found in the L1 group. This suggests that syntactic unification occurs in L2 comprehension as reliably as in L1 comprehension. However, L2 speakers did not show increased positivity for NP-internal number disagreement, indicating that they have not developed native-like sensitivity to this syntactic error. The implications of these time-frequency and ERP data for L2 sentence processing and syntactic development are discussed.
Descriptors: Brain, Evidence, Syntax, Cognitive Processes, Second Language Learning, Sentences, Reading Comprehension, Native Speakers, English (Second Language), Sino Tibetan Languages
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www-wiley-com.bibliotheek.ehb.be/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Data File: URL: https://oasis-database.org
Author Affiliations: 1University of Hong Kong; 2BNU-HKBU United International College; 3Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science at BNU-HKBU United International College; 4Chinese University of Hong Kong; 5Brain and Mind Institute at Chinese University of Hong Kong

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