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On the interplay of object animacy and verb type during sentence comprehension in German

ERP evidence from the processing of transitive dative and accusative constructions

Bibliographic Data

ID4775362
AuthorsAnna Czypionka (0000-0003-2247-0110, University of Konstanz, corresponding author), Krzysztof Spałek (0000-0001-7641-7310, Humboldt-Universität zu Berlin), Katharina Spalek, Isabell Wartenburger (0000-0001-5116-4441, University of Potsdam), Manfred Krifka (0000-0002-9610-8352, Humboldt-Universität zu Berlin)
Year2017
Volume55
Issue6
Publication date2017-01-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLinguistics (JOURNAL)
Journal identifiersISSN: 0024-3949 • E-ISSN: 1613-396X
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/ling-2017-0031
OpenAlexW2768240599
LanguageEN
Citations received3
References cited47

Comprehension of transitive sentences relies on different kinds of information, like word order, case marking, and animacy contrasts between arguments. When no formal cues like case marking or number congruency are available, a contrast in animacy helps the parser to decide which argument is the grammatical subject and which the object. Processing costs are enhanced when neither formal cues nor animacy contrasts are available in a transitive sentence. We present an ERP study on the comprehension of grammatical transitive German sentences, manipulating animacy contrasts between subjects and objects as well as the verbal case marking pattern. Our study shows strong object animacy effects even in the absence of violations, and in addition suggests that this effect of object animacy is modulated by the verbal case marking pattern

Animacy · Argument (complex analysis) · Cognitive psychology · Comprehension · Dative case · German · Linguistics · Object (grammar) · Sentence · Sentence processing · Transitive relation · Verb · Word order · Computer Science · Mathematics · Natural Language Processing Techniques · Neurobiology of Language and Bilingualism · Psychology · Syntax, Semantics, Linguistic Variation

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Unique citing works3
Citations per year0,6
Citation span2021 - 2022 (2)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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