*Result*: Interaction between Syntactic and Information Structure in the Second Language Processing of Korean Dative Sentences

Title:
Interaction between Syntactic and Information Structure in the Second Language Processing of Korean Dative Sentences
Language:
English
Authors:
Hyunwoo Kim (ORCID 0000-0003-4810-6333), Sun Hee Park (ORCID 0000-0003-2446-6430)
Source:
Second Language Research. 2024 40(2):197-219.
Availability:
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed:
Y
Page Count:
23
Publication Date:
2024
Document Type:
*Academic Journal* Journal Articles<br />Reports - Research
Education Level:
Higher Education
Postsecondary Education
Geographic Terms:
DOI:
10.1177/02676583221140857
ISSN:
0267-6583
1477-0326
Entry Date:
2024
Accession Number:
EJ1420815
Database:
ERIC

*Further Information*

*It remains an open question whether second language (L2) learners can process linguistic properties at the syntax-discourse interface. This study examines this issue in the context of the L2 processing of Korean dative sentences under different information structure requirements. Given that discourse constraints associated with information structure tend to manifest more strongly in noncanonical than in canonical structures, we tested whether L2 learners of Korean show sensitivity to such constraints during online processing. In a story-continuation task, both native and nonnative speaker groups showed a strong preference for producing canonical dative patterns, indicating their comparable knowledge of the canonical status of Korean dative sentences. In a self-paced reading task, both groups spent longer reading times when the word order of dative sentences did not follow given-new information structure, but only for the noncanonical and not the canonical structure. These results suggest that L2 processing of dative structures at the syntax-discourse interface relies on the same parsing architecture that guides native-speaker processing.*

*As Provided*