Second language acquisition of morphosyntactic and discourse functions of case markers in Korean.

  • Published In: Linguistic Approaches to Bilingualism, 2025, v. 15, n. 5. P. 662 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Kim, Hyunwoo; Park, Sun Hee 3 of 3

Abstract

This study investigated the extent to which second language (L2) learners experience difficulties when integrating multiple sources of information at internal and external interfaces, and how their first language (L1) influences this integration process. Two groups of L2 Korean learners, including Chinese and Japanese speakers, as well as native Korean speakers, completed a sentence-completion task and an acceptability judgment task. In the sentence-completion task, both native speakers and Japanese-speaking learners showed sensitivity to the function of case marking in distinct syntactic structures (morphology – syntax interface or internal interface), but not Chinese-speaking learners. In the acceptability judgment task, only the native speakers exhibited sensitivity to the discourse functions of case marking based on information structure (morphology – discourse interface or external interface), whereas the L2 learners did not appear to be influenced by the case-marking condition. These findings suggest that L2 integration of multiple information sources may be influenced by specific types of interfaces and L1 background. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Linguistic Approaches to Bilingualism. 2025/09, Vol. 15, Issue 5, p662
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2025
  • ISSN:1879-9264
  • DOI:10.1075/lab.23020.kim
  • Accession Number:187643301
  • Copyright Statement:Copyright of Linguistic Approaches to Bilingualism is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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