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Computational models of reading : a handbook

By: Reichle, Erik D.
Series: Oxford series on cognitive models and architectures.Publisher: New York : Oxford University Press, 2021Description: xiii, 589 p. ; ill., 25 cm.ISBN: 9780195370669.Subject(s): Computer programs | Reading, Psychology of | Word recognition | Human information processing | Activation-Based model | ACT-R model | Attention-shift model | CDP model | Dependency Locality theory | Dual-Route model | Interactive-Activatism (IA) model | Landscape model | Logogen model | Neighborhood-density effect | Overlap model | Production-system model | Resonance model | Simple-Recurrent network | Spatial Coding model | Surprisal theory | Triangle model | Uber-reader | Word-superiority effect | X-bar structures | Cognitive systemDDC classification: 418.4019 Summary: This book describes computational models of reading, or models that simulate and explain the mental processes that support the reading of text. The book provides introductory chapters on both reading research and computer models. The central chapters of the book then review what has been learned about reading from empirical research on four core reading processes: word identification, sentence processing, discourse representation, and how these three processes are coordinated with visual processing, attention, and eye-movement control. These central chapters also review an influential sample of computer models that have been developed to explain these key empirical findings, as well as comparative analyses of those models. The final chapter attempts to integrate this empirical and theoretical work be both describing a new comprehensive model of reading, Über-Reader, and reporting several simulations to illustrate how the model accounts for many of the basic phenomena related to reading.
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Books 418.4019 REI (Browse shelf) Available 033081

Includes bibliographical references and index.

This book describes computational models of reading, or models that simulate and explain the mental processes that support the reading of text. The book provides introductory chapters on both reading research and computer models. The central chapters of the book then review what has been learned about reading from empirical research on four core reading processes: word identification, sentence processing, discourse representation, and how these three processes are coordinated with visual processing, attention, and eye-movement control. These central chapters also review an influential sample of computer models that have been developed to explain these key empirical findings, as well as comparative analyses of those models. The final chapter attempts to integrate this empirical and theoretical work be both describing a new comprehensive model of reading, Über-Reader, and reporting several simulations to illustrate how the model accounts for many of the basic phenomena related to reading.

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