Semantic Priming

Semantic priming has been a focus of research in the cognitive sciences for more than thirty years and is commonly used as a tool for investigating other aspects of perception and cognition, such as word recognition, language comprehension, and knowledge representations. Semantic Priming: Perspectives from Memory and Word Recognition examines empirical and theoretical advancements in the understanding of semantic priming, providing a succinct, in-depth review of this important phenomenon, framed in terms of models of memory and models of word recognition. The first section examines models of semantic priming, including spreading activation models, the verification model, compound-cue models, distributed network models, and multistage activation models (e.g. interactive-activation model). The second section examines issues and findings that have played an especially important role in testing models of priming and includes chapters on the following topics: methodological issues (e.g. counterbalancing of materials, choice of priming baselines); automatic vs. strategic priming; associative vs. “pure” semantic priming; mediated priming; long-term semantic priming; backward priming; unconscious priming; the prime-task effect; list context effects; effects of word frequency, stimulus quality, and stimulus repetition; and the cognitive neuroscience of semantic priming. The book closes with a summary and a discussion of promising new research directions. The volume will be of interest to a wide range of researchers and students in the cognitive sciences and neurosciences.

Semantic priming - the improvement in speed or accuracy to respond to a word when it is preceded by a semantically related word - is addressed in this volume, which provides a succinct and in-depth overview of this important phenomenon.

This book showcases the advantages of masked priming as an alternative to more standard methods of studying language.

This book is about the mental lexicon and opens an understanding of this aspect of human cognition. The mental lexicon is still a central topic in psycholinguistics and, more generally speaking, in cognitive science. Is it possible to define what is intended by the expression "mental lexicon", a concept coined by Oldfield as early as 1966? Are the terms that the authors have at their disposal still sufficient to discuss this hypothesised mental entity -- the mental lexicon -- which is intended to cover many different aspects of words? The authors propose as a working definition that the mental lexicon corresponds to the mental repository of all representations that are intrinsically related to words. This book extends its research in psycholinguistics and focuses on the word.

First Published in 1990. Routledge is an imprint of Taylor & Francis, an informa company.

The most frequently used words in English are highly ambiguous; for example, Webster's Ninth New Collegiate Dictionary lists 94 meanings for the word "run" as a verb alone. Yet people rarely notice this ambiguity. Solving this puzzle has commanded the efforts of cognitive scientists for many years. The solution most often identified is "context": we use the context of utterance to determine the proper meanings of words and sentences. The problem then becomes specifying the nature of context and how it interacts with the rest of an understanding system. The difficulty becomes especially apparent in the attempt to write a computer program to understand natural language. Lexical ambiguity resolution (LAR), then, is one of the central problems in natural language and computational semantics research. A collection of the best research on LAR available, this volume offers eighteen original papers by leading scientists. Part I, Computer Models, describes nine attempts to discover the processes necessary for disambiguation by implementing programs to do the job. Part II, Empirical Studies, goes into the laboratory setting to examine the nature of the human disambiguation mechanism and the structure of ambiguity itself. A primary goal of this volume is to propose a cognitive science perspective arising out of the conjunction of work and approaches from neuropsychology, psycholinguistics, and artificial intelligence--thereby encouraging a closer cooperation and collaboration among these fields. Lexical Ambiguity Resolution is a valuable and accessible source book for students and cognitive scientists in AI, psycholinguistics, neuropsychology, or theoretical linguistics.

How incidentally activated social representations affect subsequent thoughts and behaviors has long interested social psychologists. Recently, such priming effects have provoked debate and skepticism. Originally a special issue ofSocial Cognition, this book examines the theoretical challenges researchers must overcome to further advance priming studies and considers how these challenges can be met. The volume aims to reduce the confusion surrounding current discussions by more thoroughly considering the many phenomena in social psychology that the term ?priming? encompasses, and closely examining the psychological processes that explain when and how different types of priming effects occur.

Using Priming Methods in Second Language Research is an accessible introduction to the use of auditory, semantic, and syntactic priming methods for second language (L2) processing and acquisition research. It provides a guide for the use, design, and implementation of priming tasks and an overview of how to analyze and report priming research. Key principles about auditory, semantic, and syntactic priming are introduced, and issues for L2 researchers to consider when designing priming studies are pointed out. Empirical studies that have adopted priming methods are highlighted to illustrate the application of experimental techniques from psychology to L2 processing and acquisition research. Each chapter concludes with follow-up questions and activities that provide additional reinforcement of the chapter content, while the final chapter includes data sets that can be used to practice the statistical tests commonly used with priming data.

The primary goal of this volume is to present cutting-edge examples of mining large and naturalistic datasets to discover important principles of cognition and to evaluate theories in a way that would not be possible without such scale. It explores techniques that have been underexploited by cognitive psychologists and explains how big data from numerous sources can inform researchers with different research interests and shed further light on how brain, cognition and behavior are interconnected. The book fills a major gap in the literature and has the potential to rapidly advance knowledge throughout the field. It is essential reading for any cognitive psychology researcher.

Lexical Priming proposes a radical new theory of the lexicon, which amounts to a completely new theory of language based on how words are used in the real world. Here they are not confined to the definitions given to them in dictionaries but instead interact with other words in common patterns of use. Using concrete statistical evidence from a corpus of newspaper English, but also referring to travel writing and literary text, the author argues that words are 'primed' for use through our experience with them, so that everything we know about a word is a product of our encounters with it. This knowledge explains how speakers of a language succeed in being fluent, creative and natural.