Computational Models of Reading

Computational Models of Reading

Author: Erik D. Reichle

Publisher: Oxford University Press

ISBN: 9780190669096

Category: Psychology

Page: 544

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This book is about computational models of reading, or models that explain (and often simulate) the mental processes that allow us to convert the marks on a printed page into the representations that allow us to understand the contents of what we are reading. Computational Models of Reading assumes no prior knowledge of the topic and is intended for psychologists, linguists, and educators who are interested in gaining a better understanding of what happens in the mind during reading. Erik D. Reichle includes introductory chapters on reading research and computational modelling, and the "core" chapters of the book review both important empirical findings and the models designed to explain those findings within four domains of reading research: word identification, sentence processing, discourse representation, and eye-movement control (which involves coordinating word, sentence, and discourse processing with the perceptual, cognitive, and motoric systems responsible for vision, attention, and eye movements). The final chapter of the book describes a new integrative model of reading, Über-Reader, and several simulations using the models that demonstrate how it explains several key reading phenomena.
Computational Models of Reading
Language: un
Pages: 544
Authors: Erik D. Reichle
Categories: Psychology
Type: BOOK - Published: 2020-10-01 - Publisher: Oxford University Press

This book is about computational models of reading, or models that explain (and often simulate) the mental processes that allow us to convert the marks on a printed page into the representations that allow us to understand the contents of what we are reading. Computational Models of Reading assumes no
Computational Models of Reading
Language: un
Pages:
Authors: Erik D. Reichle
Categories: Human information processing
Type: BOOK - Published: 2021 - Publisher:

"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
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Pages: 499
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This book highlights cutting-edge research relevant to the building of a computational model of reading comprehension, as in the processing and understanding of a natural language text or story. The book takes an interdisciplinary approach to the study of reading, with contributions from computer science, psychology, and philosophy. Contributors cover
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