Lexical Priming

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.

Published in 2005, Michael Hoey’s Lexical Priming – A new theory of words and language introduced a completely new theory of language based on how words are used in the real world. In the ten years that have passed, the theory has since gained traction in the field of corpus-linguistics. This volume brings together some of the most important contributions to the theory, in areas such as language teaching and learning, discourse analysis, stylistics as well as the design of language learning software. Crucially, this book introduces aspects of the language that have so far been given less focus in lexical priming, such as spoken language, figurative language, forced primings, priming as predictor of genre, and historical primings. The volume also focuses on applying the lexical priming theory to languages other than English including Mandarin Chinese and Finnish.

This book shows that over forty years of psychological laboratory-based research support the claims of the Lexical Priming Theory. It examines how Lexical Priming applies to the use of spoken English as the book provides evidence that Lexical Priming is found in everyday spoken conversations.

This book explores the interconnections between linguistics and Artificial Intelligence (AI) research, their mutually influential theories and developments, and the areas where these two groups can still learn from each other. It begins with a brief history of artificial intelligence theories focusing on figures including Alan Turing and M. Ross Quillian and the key concepts of priming, spread-activation and the semantic web. The author details the origins of the theory of lexical priming in early AI research and how it can be used to explain structures of language that corpus linguists have uncovered. He explores how the idea of mirroring the mind’s language processing has been adopted to create machines that can be taught to listen and understand human speech in a way that goes beyond a fixed set of commands. In doing so, he reveals how the latest research into the semantic web and Natural Language Processing has developed from its early roots. The book moves on to describe how the technology has evolved with the adoption of inference concepts, probabilistic grammar models, and deep neural networks in order to fine-tune the latest language-processing and translation tools. This engaging book offers thought-provoking insights to corpus linguists, computational linguists and those working in AI and NLP.

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.

This book shows that over forty years of psychological laboratory-based research support the claims of the Lexical Priming Theory. It examines how Lexical Priming applies to the use of spoken English as the book provides evidence that Lexical Priming is found in everyday spoken conversations.

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

Corpus linguistics has had a revolutionary impact on grammar and discourse research. Not only has it opened up entirely new theoretical perspectives and methodological possibilities for both fields, but it has also to a considerable extent erased the boundaries that have traditionally been drawn between them. This book showcases a variety of current corpus-based approaches to the study of grammar and discourse, and makes a case for seeing grammar and discourse as fundamentally inter-related phenomena. The book features contributions from leading experts in cognitive linguistics, construction grammar, critical discourse studies, genre and register analysis, phraseology, language learning and teaching, languages for specific purposes, second language acquisition, sociolinguistics, systemic functional linguistics and text linguistics. An essential reference point for future research, Corpora, Grammar and Discourse has been edited in honour of Susan Hunston, whose own work has consistently pushed at the boundaries of corpus-based research on grammar and discourse for over three decades.