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Spreading Activation, Lexical Priming and the Semantic Web

Early Psycholinguistic Theories, Corpus Linguistics and AI Applications

  • Book
  • © 2018

Overview

Authors:
  1. Michael Pace-Sigge

    1. Department of English Language and Culture, University of Eastern Finland, Joensuu, Finland

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  • Offers an original contribution to the field by bringing together corpus linguistics, Natural Language Processing and lexical priming
  • Demonstrates how linguists and AI engineers can learn from each other
  • Shows how linguistics has allowed the development of cutting-edge technology

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    • Michael Pace-Sigge
    Pages 1-6

  3. M. Ross Quillian, Priming, Spreading-Activation and the Semantic Web

    • Michael Pace-Sigge
    Pages 7-28

  4. Where Corpus Linguistics and Artificial Intelligence (AI) Meet

    • Michael Pace-Sigge
    Pages 29-82

  5. Take Home Messages for Linguists and Artificial Intelligence Designers

    • Michael Pace-Sigge
    Pages 83-114

  6. Conclusions

    • Michael Pace-Sigge
    Pages 115-120

  7. Back Matter

    Pages 121-135
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Keywords

About this book

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.

Reviews

“The book artfully traces the history of how the seminal work of Ross Quillian on spreading activation in semantic networks led to the powerful AI capabilities that underlie natural language understanding in today’s smart machines.” (Allan Collins, Professor Emeritus of Learning Sciences, Northwestern University, USA)

“With a very captivating title, the last book by Michael Pace-Sigge invites the reader to a start a journey that paves the way to highlighting the interconnection between linguistics and artificial intelligence. Spreading Activation, Lexical Priming and the Semantic Web is a timely proposal that shows how necessary cooperation between these two areas of research is. Designed partly as an overview of the most outstanding and influential AI literature, this volume is a bridge between AI experts and linguists that reveals some gaps needed to be addressed by pragmatics, corpus linguistics and Natural-Language Processing; it is precisely there where Michael Hoey’s concept proves relevant once again.” (Dra. E. Hidalgo Tenorio, Profesora Titular de Lengua Inglesa, Universidad de Granada, Spain)

“An interesting and lucid view of how linguistics and AI interconnect and intersect, intended to encourage independent thought about the synergy of these two disciplines. Skilfully written and entertaining without unnecessary technical details or jargon, it discusses these fields both substantive and accessible to readers with limited linguistic and/or AI education. The explanations are so direct that a beginner will understand them and an old hand will enjoy them. The result is a book that will uplift and edify any reader.” (Pascual Cantos-Gomez, Full Professor, Department of English Studies, University of Murcia, Spain)

“The most valuable feature, among others, of this exciting book is that it has fully illustrated how lexical priming, spread-activation and the semantic web have beeninterconnected with Artificial Intelligence in research in corpus linguistics, computational linguists and Natural Language Processing.” (Winnie Cheng, Professor of English, Department of English, The Hong Kong Polytechnic University, Hong Kong)



Authors and Affiliations

  • Department of English Language and Culture, University of Eastern Finland, Joensuu, Finland

    Michael Pace-Sigge

About the author

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).

Bibliographic Information

  • Book Title: Spreading Activation, Lexical Priming and the Semantic Web

  • Book Subtitle: Early Psycholinguistic Theories, Corpus Linguistics and AI Applications

  • Authors: Michael Pace-Sigge

  • DOI: https://doi.org/10.1007/978-3-319-90719-2

  • Publisher: Palgrave Pivot Cham

  • eBook Packages: Social Sciences, Social Sciences (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s) 2018

  • Hardcover ISBN: 978-3-319-90718-5Published: 15 June 2018

  • eBook ISBN: 978-3-319-90719-2Published: 04 June 2018

  • Edition Number: 1

  • Number of Pages: XIII, 135

  • Number of Illustrations: 15 b/w illustrations

  • Topics: Corpus Linguistics, Artificial Intelligence, Psycholinguistics, Lexicology/Vocabulary, Pragmatics, Translation

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