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Dependency distance reflects L2 processing difficulty

Evidence from the relationship between dependency distance, L2 processing speed, and L2 proficiency

Bibliographic Data

ID15087486
AuthorsJianmin Gao (0000-0002-9830-3813, Zhejiang University), Peijian Paul Sun (0000-0003-4820-2915, Zhejiang University, corresponding author)
Year2025
Volume29
Issue3
Pages684-700
Publication date2025-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Bilingualism (JOURNAL)
Journal identifiersISSN: 1367-0069 • E-ISSN: 1756-6878
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/13670069241240936
OpenAlexW4394578278
LanguageEN
Citations received3
References cited37

Aims and objectives: This study aims to investigate whether dependency distance (DD) can reflect L2 processing difficulty by exploring the relationship between DD, L2 processing speed, and L2 proficiency. Methodology: The sentences in a maze task were annotated based on dependency syntax to indicate L2 processing difficulty. The maze task then was used to capture the word-level and sentence-level processing speed. The task was successfully performed by 62 Chinese learners of English, who were assigned into an intermediate-level group and an advanced-level group according to their scores on an elicited imitation task (EIT) and a vocabulary and grammar test. Data and analysis: Reaction time (RT) data of processing word-level and sentence-level items were collected from the maze task. The DD-based estimates of word-level and sentence-level processing difficulty were calculated. Generalized linear regression models (GLMs) were employed to inspect the relationship between the DD-based estimate of processing difficulty, L2 processing speed, and L2 proficiency. Findings: Our results showed that DD significantly predicted L2 processing speed at both word and sentence levels, irrespective of participants’ L2 proficiency. As DD increased, advanced learners’ word-level processing time grew significantly slower than that of intermediate learners. Originality: Using psycholinguistic experiments, the study is one of the first attempts to empirically validate the effectiveness of DD in capturing L2 processing difficulty. Significance: Our findings suggest that DD is useful in predicting L2 processing difficulty, and the extent to which learners are able to efficiently process dependencies with increasing distance can differentiate their L2 proficiency levels

Cognitive psychology · Linguistics · Communication · Computer Science · Neurobiology of Language and Bilingualism · Psychology · Reading and Literacy Development · Second Language Acquisition and Learning · Artificial Intelligence

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  • Speaking

    Willem J M Levelt•Speaking•1989

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    Open Access•Nelson Cowan•Behavioral and Brain Sciences•2001

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    Open Access•Daniel Grodner, Edward Gibson et al.•Cognitive Science•2005

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    Alan Baddeley, Alan D Baddeley et al.•Psychology of Learning and…•1974

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    Open Access•Haitao Liu, Haitao Liu Haitao Liu•Journal of Cognitive Science•2008

  • Linguistic complexity

    Open Access•Edward Gibson•Cognition•1998

  • An Incremental Procedural Grammar for Sentence Formulation

    Open Access•Gerard Kempen, Edward Hoenkamp et al.•Cognitive Science•1987

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    Open Access•Nikolay Slavkov•Second language Research•2014

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  • Dependency direction as a means of word-order typology

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Unique citing works3
Citations per year3
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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