Computational models of reading : a handbook
- New York : Oxford University Press, 2021
- xiii, 589 p. ; ill., 25 cm
- Oxford series on cognitive models and architectures .
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.
9780195370669
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 system