JOURNAL ARTICLE
First and second language speakers' sensitivity to the distributional properties of wh-clauses: Effects of proficiency, acquisitional context, and language experience.
Published In: Australian Review of Applied Linguistics, 2025, v. 48, n. 1. P. 28 1 of 3
Database: Communication Source 2 of 3
Authored By: Domazetoska, Ivana; Zhao, Helen 3 of 3
Abstract
The present study investigates L1 and L2 English speakers' knowledge of the wh-clausal construction along the parameters of (a) conventionality, distinguishing between high-frequency conventional and low-frequency unconventional formulations (I asked him why they agreed/why did they agree), and (b) proposition type, differentiating between interrogative versus non-interrogative proposition types (I asked / told him why they agreed). We also consider the extent to which L2 speakers' constructional knowledge is influenced by learners' target language experience, such as L2 proficiency, context of L2 learning (ESL or EFL), and target language exposure. Results from a judgment task revealed nuances in L1-L2 discriminatory capacities, and more importantly, differences in sensitivity to proposition type between the ESL and EFL group, but no L2 differences in sensitivity to conventionality. L2 proficiency, speakers' length of target immersion experience, and classroom exposure were shown to also impact linguistic sensitivity, highlighting a moderating effect of target language exposure and an important role for classroom instruction. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Australian Review of Applied Linguistics. 2025/01, Vol. 48, Issue 1, p28
- Document Type:Article
- Subject Area:Literature and Writing
- Publication Date:2025
- ISSN:0155-0640
- DOI:10.1075/aral.23011.dom
- Accession Number:183911990
- Copyright Statement:Copyright of Australian Review of Applied Linguistics 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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