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.

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.

Experts from psycholinguistics and English historical linguistics address core factors in language change.

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. Michael Pace-Sigge is Senior Lecturer at the University of Eastern Finland, Finland. His key areas of research are corpus linguistics and lexical priming. He is the author of Lexical Priming in Spoken English Usage (2013) and co-editor of Lexical Priming: Advances and Applications (2017).