The developments in linguistic theory over the last three decades have given us a better understanding of the formal properties of language. However, as the truism goes, language does not exist in a vacuum. It in teracts with a cognitive system that involves much more than language and functions as the primary instrument of human communication. A theory of language must, therefore, be based on an integration of its for mal properties with its cognitive and communicative dimensions. The present work is offered as the modest contribution to this research paradigm. This book is a revised and slightly enlarged version of my doctoral thesis submitted to the University of Illinois at Urbana-Champaign. In writing the original version, I had the privilege of working with Professor Charles E. Osgood, who is widely recognized as the founder and one of the leading figures of modern psycholinguistics. I have benefited from ex tensive and stimulating discussions with him, not only on this topic but in the development of his theory of language performance in general (see his Lectures on Language Performance, 1980, in this series). However, the re sponsibility for the particular formulations of the theory, hypotheses, in terpretations, and conclusions found in this work-which have been in fluenced, no doubt, by my training as a linguist, rather than as a psychologist-are my own.

Bilingual Sentence Processing

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.

Provides a dynamic network model of grammar that explains how linguistic structure is shaped by language use.

How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.

This collection of 33 papers represents the most current thinking andresearch on the study of cognitive processing in bilingual individuals. Thecontributors include well-known figures in the field and promising newscholars, representing four continents and work in dozens of languages.Instead of the social, political, or educational implications ofbilingualism, the focus is on how bilingual people (mostly adults) thinkand process language.

Age-related changes in cognitive and language functions have been extensively researched over the past half-century. The older adult represents a unique population for studying cognition and language because of the many challenges that are presented with investigating this population, including individual differences in education, life experiences, health issues, social identity, as well as gender. The purpose of this book is to provide an advanced text that considers these unique challenges and assembles in one source current information regarding (a) language in the aging population and (b) current theories accounting for age-related changes in language function. A thoughtful and comprehensive review of current research spanning different disciplines that study aging will achieve this purpose. Such disciplines include linguistics, psychology, sociolinguistics, neurosciences, cognitive sciences, and communication sciences. As of January 2019, this e-book is freely available, thanks to the support of libraries working with Knowledge Unlatched.

Neurobiology of Language explores the study of language, a field that has seen tremendous progress in the last two decades. Key to this progress is the accelerating trend toward integration of neurobiological approaches with the more established understanding of language within cognitive psychology, computer science, and linguistics. This volume serves as the definitive reference on the neurobiology of language, bringing these various advances together into a single volume of 100 concise entries. The organization includes sections on the field's major subfields, with each section covering both empirical data and theoretical perspectives. "Foundational" neurobiological coverage is also provided, including neuroanatomy, neurophysiology, genetics, linguistic, and psycholinguistic data, and models. - Foundational reference for the current state of the field of the neurobiology of language - Enables brain and language researchers and students to remain up-to-date in this fast-moving field that crosses many disciplinary and subdisciplinary boundaries - Provides an accessible entry point for other scientists interested in the area, but not actively working in it – e.g., speech therapists, neurologists, and cognitive psychologists - Chapters authored by world leaders in the field – the broadest, most expert coverage available

An utterance is normally produced by a speaker in linear time and the hearer normally correctly identifies the speaker intention in linear time and incrementally. This is hard to understand in a standard competence grammar since languages are highly ambiguous and context-free parsing is not linear. Deterministic utterance generation from intention and n-best Bayesian interpretation, based on the production grammar and the prior probabilities that need to be assumed for other perception do much better. The proposed model uses symbolic grammar and derives symbolic semantic representations, but treats interpretation as just another form of perception. Removing interpretation from grammar is not only empirically motivated, but also makes linguistics a much more feasible enterprise. The importance of Henk Zeevat's new monograph cannot be overstated. Its combination of breadth, formal rigor, and originality is unparalleled in work on the form-meaning interface in human language...Zeevat's is the first proposal which provides a computationally feasible integrated treatment of production and comprehension for pragmatics, semantics, syntax, and even phonology. I recommend it to anyone who combines interests in language, logic, and computation with a sense of adventure. David Beaver, University of Texas at Austin