Sentence Comprehension as a Cognitive Process A Computational Approach

Sentence Comprehension as a Cognitive Process: A Computational Approach by Shravan Vasishth, published by Cambridge University Press on February 8, 2024, offers an in-depth exploration of sentence comprehension within the realm of psycholinguistics. This 250-page book examines how computational linguistics contributes to understanding the processes involved in interpreting spoken and written language, focusing on the cognitive mechanisms at play.
Readers will find a detailed analysis of the leading computational model of retrieval processes in sentence processing, specifically the Lewis and Vasishth cue-based retrieval model. The book develops a methodology for parameter estimation and model evaluation, enabling researchers to test their own models against established benchmarks. Additionally, it provides a comprehensive overview of two decades of research on retrieval processes in sentence comprehension, along with source code for further exploration and research in the field. This edition serves as a valuable resource for those engaged in cognitive science, linguistics, and artificial intelligence.
Official synopsis Publisher
Sentence comprehension – the way we process and understand spoken and written language – is a central and important area of research within psycholinguistics. This book explores the contribution of computational linguistics to the field, showing how computational models of sentence processing can help scientists in their investigation of human cognitive processes. It presents the leading computational model of retrieval processes in sentence processing, the Lewis and Vasishth cue-based retrieval mode, and develops a principled methodology for parameter estimation and model comparison/evaluation using benchmark data, to enable researchers to test their own models of retrieval against the present model. It also provides readers with an overview of the last 20 years of research on the topic of retrieval processes in sentence comprehension, along with source code that allows researchers to extend the model and carry out new research. Comprehensive in its scope, this book is essential reading for researchers in cognitive science.
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