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Michaela Socolof; Timothy J. O'Donnell; Michael Wagner – Cognitive Science, 2025
It has been repeatedly found that idioms are processed faster than syntactically matched literal phrases, in both comprehension and production. This has led to debate about whether idioms are accessed as chunks or built compositionally, with different studies attempting to measure the effect of compositionality on processing, with differing…
Descriptors: Language Patterns, Sentences, Reading Comprehension, Language Processing
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Maud Rasamimanana; Raphaël Mizzi; Jean-Baptiste Melmi; Sophie Saffi; Pascale Colé – Cognitive Science, 2025
Reading comprehension has been mostly studied using traditional texts and very little is known about reading comprehension in comics. We wanted to find out whether comics could enhance comprehension processes, compared to traditional text and what cognitive processes might be involved in this effect. Furthermore, we explored the functional role of…
Descriptors: Reading Comprehension, Cartoons, Adults, Eye Movements
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Aditya Upadhyayula; Neil Cohn – Cognitive Science, 2025
Theories of visual narrative comprehension have advocated for a hierarchical grammar-based comprehension mechanism, but only limited work has investigated this hierarchy. Here, we provide a computational framework inspired by computational psycholinguistics to address hierarchy in visual narratives. The predictions generated by this framework were…
Descriptors: Visual Perception, Comprehension, Vertical Organization, Story Grammar
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Anastasia Kobzeva; Dave Kush – Cognitive Science, 2024
Filler-gap dependency resolution is often characterized as an active process. We probed the mechanisms that determine where and why comprehenders posit gaps during incremental processing using Norwegian as our test language. First, we investigated why active filler-gap dependency resolution is suspended inside "island" domains like…
Descriptors: Grammar, Expectation, Norwegian, Form Classes (Languages)
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Kun Sun; Rong Wang – Cognitive Science, 2025
The majority of research in computational psycholinguistics on sentence processing has focused on word-by-word incremental processing within sentences, rather than holistic sentence-level representations. This study introduces two novel computational approaches for quantifying sentence-level processing: sentence surprisal and sentence relevance.…
Descriptors: Reading Rate, Reading Comprehension, Sentences, Computation