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Sentence Comprehension as a Cognitive Process
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.
Working Memory in Sentence Comprehension
The first-ever investigation of sentence processing in Hindi, Working Memory in Sentence Comprehension studies the predictions of three existing, wide-coverage sentence processing models. In experiments that apply these models to Hindi, Shravan Vasishth develops a new sentence processing model that builds on existing theories and overcomes their empirical problems. Advancing the understanding of human parsing processes, this book is a landmark in cross-linguistic research, presenting a challenging set of sentence processing facts that will impact future theories.
The Foundations of Statistics: A Simulation-based Approach
Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when faced with experimental data, many students and researchers tend to rely on commercial packages to carry out statistical data analysis, often without understanding the logic of the statistical tests they rely on. As a consequence, results are often misinterpreted, and users have difficulty in flexibly applying techniques relevant to their own research — they use whatever they happen to have learned. A simple solution is to teach the fundamental ideas of statistical hypothesis testing without using too much mathematics. This book provi...
Regression Modeling for Linguistic Data
The first comprehensive textbook on regression modeling for linguistic data offers an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. In the first comprehensive textbook on regression modeling for linguistic data in a frequentist framework, Morgan Sonderegger provides graduate students and researchers with an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. The book features extensive treatment of mixed-effects regression models, the most widely used statistical method for analyzing linguistic data. Sonderegger begins with preliminaries to regression modeling: assu...
Working Memory in Sentence Comprehension
The first-ever investigation of sentence processing in Hindi, Working Memory in Sentence Comprehension studies the predictions of three existing, wide-coverage sentence processing models. In experiments that apply these models to Hindi, Shravan Vasishth develops a new sentence processing model that builds on existing theories and overcomes their empirical problems. Advancing the understanding of human parsing processes, this book is a landmark in cross-linguistic research, presenting a challenging set of sentence processing facts that will impact future theories.
The Oxford Handbook of Experimental Syntax
This volume showcases the contributions that formal experimental methods can make to syntactic research in the 21st century. Syntactic theory is both a domain of study in its own right, and one component of an integrated theory of the cognitive neuroscience of language. It provides a theory of the mediation between sound and meaning, a theory of the representations constructed during sentence processing, and a theory of the end-state for language acquisition. Given the highly interactive nature of the theory of syntax, this volume defines "experimental syntax" in the broadest possible terms, exploring both formal experimental methods that have been part of the domain of syntax since its ince...
Encoding and Navigating Linguistic Representations in Memory
Successful speaking and understanding requires mechanisms for reliably encoding structured linguistic representations in memory and for effectively accessing information in those representations later. Studying the time-course of real-time linguistic dependency formation provides a valuable tool for uncovering the cognitive and neural basis of these mechanisms. This volume draws together multiple perspectives on encoding and navigating structured linguistic representations, to highlight important empirical insights, and to identify key priorities for new research in this area.
Computational Cognitive Modeling and Linguistic Theory
This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming th...
Empirical Approaches to Linguistic Theory
The mental representation of language cannot be directly observed but must be inferred and modelled from its effects at second hand. Linguists have traditionally responded to this in two ways, either going for a fairly data-light approach and valuing theoretical creativity, or pursuing just those goals for which data is available and trusting to data-driven descriptive work. More recently, advances in technology and experimental techniques have made data gathering easier and more accessible, so that a theoretically informed but empirically based approach is rapidly growing in popularity. This synthesis permits linguists to combine the intellectual hypothesis generation of the theoreticians with the ability to deliver hard answers of the empiricist. This volume is a collection of papers in this direction, using mostly experiment methods to yield insights into syntactic and semantic structures, language processing, and acquisition. Papers report corpus data, neurological investigations, child language studies, and fieldwork from minority languages.
