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(Generalized Linear) Mixed-Effects Modeling

A Learner Corpus Example

Bibliographic Data

ID5084438
AuthorsStefan Th Grie (0000-0002-6497-3958, Department of Linguistics University of California, Santa Barbara & Justus Liebig University Giessen UC Santa Barbara Santa Barbara California USA, corresponding author)
Year2021
Volume71
Issue3
Pages757-798
Publication date2021-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguage Learning (JOURNAL)
Journal identifiersISSN: 0023-8333 • E-ISSN: 1467-9922
PublisherWiley (PUBLISHER • GB)
DOI10.1111/lang.12448
OpenAlexW3136472404
LanguageEN
Citations received38
References cited57

This methods showcase article provides a detailed overview of a mixed-effects modeling analysis of corpus data on the use of that in object and subject complementation by native speakers of English compared to its use by German and Spanish learners of English. "We emphasize that we do not claim that our illustrations are the only way to carry out these analyses, but the strategy outlined above has yielded satisfactory results." (Bates et al., 2018, p. 5

BATES · Cognitive psychology · German · Linguistics · Natural language processing · Object (grammar) · Subject (documents) · Artificial Intelligence · Computer Science · Linguistic Variation and Morphology · Natural Language Processing Techniques · Philosophy · Psychology · Second Language Acquisition and Learning

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Unique citing works38
Citations per year7,6
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 37
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