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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Structural Priming and the Mental Representation of Agentive and Temporal by-Phrase Constructions: An Eye-Tracking Study ... Fusella, Paul Vincent. - : Columbia University, 2021 BASE Show details 2 The Psycho-logic of Universal Quantifiers ... Knowlton, Tyler Zarus. - : Digital Repository at the University of Maryland, 2021 BASE Show details 3 CROSS-LINGUISTIC DIFFERENCES IN THE LEARNING OF INFLECTIONAL MORPHOLOGY: EFFECTS OF TARGET LANGUAGE PARADIGM COMPLEXITY ... Solovyeva, Ekaterina. - : Digital Repository at the University of Maryland, 2020 BASE Show details 4 Toward a Psycholinguistic Model of Irony Comprehension ... Adler, Rachel Michelle. - : Digital Repository at the University of Maryland, 2018 BASE Show details 5 Relating lexical and syntactic processes in language: Bridging research in humans and machines ... Ettinger, Allyson. - : Digital Repository at the University of Maryland, 2018 Abstract: Potential to bridge research on language in humans and machines is substantial - as linguists and cognitive scientists apply scientific theory and methods to understand how language is processed and represented by humans, computer scientists apply computational methods to determine how to process and represent language in machines. The present work integrates approaches from each of these domains in order to tackle an issue of relevance for both: the nature of the relationship between low-level lexical processes and syntactically-driven interpretation processes. In the first part of the dissertation, this distinction between lexical and syntactic processes focuses on understanding asyntactic lexical effects in online sentence comprehension in humans, and the relationship of those effects to syntactically-driven interpretation processes. I draw on computational methods for simulating these lexical effects and their relationship to interpretation processes. In the latter part of the dissertation, the ... Keyword: Cognitive neuroscience of language; Computational linguistics; Computer science; FOS Clinical medicine; FOS Languages and literature; Linguistics; Natural language processing; Neurosciences; Psycholinguistics URL: https://dx.doi.org/10.13016/m2s756p4g http://drum.lib.umd.edu/handle/1903/21162 BASE Hide details 6 Language Science Meets Cognitive Science: Categorization and Adaptation ... Heffner, Christopher Cullen. - : Digital Repository at the University of Maryland, 2017 BASE Show details

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