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Non-canonical word order as a measure of syntactic complexity in advanced L2 German

Bibliographic Data

ID21333151
AuthorsMathieu Lecouvet (0000-0001-7602-6555, Institute for Language and Communication, University of Louvain , Louvain-la-Neuve , Belgium, corresponding author)
Year2023
Volume61
Issue3
Pages877-907
Publication date2023-09-26
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueIRAL - International Review of Applied Linguistics in Language Teaching (JOURNAL)
Journal identifiersISSN: 0019-042X • E-ISSN: 1613-4141
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/iral-2021-0029
OpenAlexW3198627038
LanguageEN
Citations received3
References cited54

A major issue in SLA research concerns the operationalization of syntactic complexity, in particular the need for fine-grained measures that go beyond the traditional focus on syntactic elaboration. Following recent findings that have demonstrated the potential of syntactic diversity for providing a more detailed picture of how complexity develops across languages and proficiency levels, the present study argues for the use of two types of non-canonical structures, passives and argument inversions, as indices of syntactic complexification in advanced L2 German writing. Based on 75 argumentative texts written by experienced L2 learners of German (B2 to C2 CEFR levels), we addressed the question to what extent learners’ use of non-canonical word order is a hallmark of advanced proficiency compared to measures of syntactic elaboration. The results revealed a considerable increase in the frequency of argument inversions from B2 to C1 and highlighted the interrelationship between diversity and elaboration in learner compositions

Argument (complex analysis) · Argumentative · Cognition · Elaboration · Focus (optics) · German · Grammar · Grammaticality · Language proficiency · Linguistics · Natural language processing · Operationalization · Psycholinguistics · Syntax · Word order · Computer Science · EFL/ESL Teaching and Learning · Psychology · Second Language Acquisition and Learning · Text Readability and Simplification

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Unique citing works3
Citations per year1
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3
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