Processing Polarity: How the ungrammatical intrudes on the grammatical

Processing Polarity: How the ungrammatical intrudes on the grammatical

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by Shravan Vasishth , Sven Brüssow , Richard L. Lewis , Heiner Drenhaus

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Datum	Value	Source
TITLE	Processing Polarity: How the ungrammatical intrudes on the grammatical	user correction
AUTHOR NAME	Shravan Vasishth	user correction
AUTHOR AFFIL	Institute for Linguistics, University of Potsdam	user correction
AUTHOR ADDR	Germany	user correction
AUTHOR NAME	Sven Brüssow	user correction
AUTHOR AFFIL	Department of Psychology, University of Heidelberg	user correction
AUTHOR ADDR	Germany	user correction
AUTHOR NAME	Richard L. Lewis	user correction
AUTHOR AFFIL	Department of Psychology, University of Michigan	user correction
AUTHOR ADDR	USA	user correction
AUTHOR NAME	Heiner Drenhaus	user correction
AUTHOR AFFIL	Insitute for Linguistics, University of Potsdam	user correction
AUTHOR ADDR	Postfach 601553, D-14415, Potsdam, Germany	user correction
ABSTRACT	A central question in online human sentence comprehension is: how are linguistic relations established between different parts of a sentence? Previous work has shown that this dependency resolution process can be computationally expensive, but the underlying reasons for this are still unclear. We argue that dependency resolution is mediated by cue-based retrieval, constrained by independently motivated working memory principles defined in a cognitive architecture (ACT-R). To demonstrate this, we investigate an unusual instance of dependency resolution, the processing of negative and positive polarity items, and confirm a surprising prediction of the cue-based retrieval model: partial cue-matches—which constitute a kind of similarity-based interference—can give rise to the intrusion of ungrammatical retrieval candidates, leading to both processing slow-downs and even errors of judgment that take the form of illusions of grammaticality in patently ungrammatical structures. A notable achievement is that good quantitative fits are achieved without adjusting the key model parameters.	user correction
CITATIONS	68 found	ParsCit 1.0