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Knowledge of indefinite articles in L2-English

Online vs. offline performance

Bibliographic Data

ID11655700
AuthorsTania Ionin (0000-0002-4360-8644, corresponding author), Sea Hee Choi (0000-0002-9330-5131, University of Illinois at Urbana-Champaign, USA), Qiufen Liu (0000-0002-3592-2756, University of Shanghai for Science and Technology, Shanghai, China)
Year2019
Volume37
Issue1
Pages121-160
Publication date2019-06-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSecond language Research (JOURNAL)
Journal identifiersISSN: 0267-6583 • E-ISSN: 1477-0326
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0267658319857466
OpenAlexW2953859511
LanguageEN
Citations received7
References cited36

This study uses both offline and online tasks in order to investigate whether second language learners of English from an article-less first-language (Mandarin) are able to integrate the indefinite article into their grammar despite the lack of articles in their first language. This article reports on two studies, one on learners’ sensitivity to errors of article omission and one on learners’ sensitivity to errors of article misuse. The results indicate that learners show quite native-like sensitivity to errors with articles online, and in fact perform in a more target-like manner in an online task than in a traditional offline judgment task. The findings of this study provide evidence against the Morphological Congruency Hypothesis in that they indicate that learners can represent a new morphological category (in this case, the indefinite article) in their Interlanguage grammar

Grammar · Interlanguage · Linguistics · Mandarin Chinese · Natural language processing · Online and offline · Second language · Second-language acquisition · Task (project management · Computer Science · EFL/ESL Teaching and Learning · Natural Language Processing Techniques · Psychology · Second Language Acquisition and Learning · Artificial Intelligence

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Unique citing works7
Citations per year1,75
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 7
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