Most (but not all) quantifiers are interpreted immediately in visual context-Reference-Cited by-同舟云学术

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Most (but not all) quantifiers are interpreted immediately in visual context

Published:2020-02-05 Issue:9 Volume:35 Page:1203-1222
ISSN:2327-3798
Container-title:Language, Cognition and Neuroscience
language:en
Short-container-title:Language, Cognition and Neuroscience

Author:

Augurzky Petra¹²,Schlotterbeck Fabian³,Ulrich Rolf²⁴

Affiliation:

1. Department of Linguistics, University of Tübingen, Tübingen, Germany

2. Sonderforschungsbereich 833, University of Tübingen, Tübingen, Germany

3. Deutsches Seminar, University of Tübingen, Tübingen, Germany

4. Department of Psychology, University of Tübingen, Tübingen, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Informa UK Limited

Subject

Cognitive Neuroscience,Linguistics and Language,Experimental and Cognitive Psychology,Language and Linguistics

Link

https://www.tandfonline.com/doi/pdf/10.1080/23273798.2020.1722846

Reference66 articles.

1. Measuring the cognitive cost of downward monotonicity by controlling for negative polarity

2. Are all the triangles blue? – ERP evidence for the incremental processing of German quantifier restriction

3. Generalized quantifiers and natural language

4. Fitting Linear Mixed-Effects Models Usinglme4

5. Toward a Neurobiologically Plausible Model of Language-Related, Negative Event-Related Potentials

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1. Testing two-step models of negative quantification using a novel machine learning analysis of EEG;Language, Cognition and Neuroscience;2024-04-30

2. The interplay of computational complexity and memory load during quantifier verification;Language, Cognition and Neuroscience;2023-08-07

3. Degree of incrementality is modulated by experimental context – ERP evidence from German quantifier restriction;Language, Cognition and Neuroscience;2022-10-27

4. Computational complexity explains neural differences in quantifier verification;Cognition;2022-06

5. Context and Complexity in Incremental Sentence Interpretation: An ERP Study on Temporal Quantification;Cognitive Science;2020-11

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