Spreading Activation, Lexical Priming and the Semantic Web

Early Psycholinguistic Theories, Corpus Linguistics and AI Applications

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Reference & Language, Language Arts, Linguistics
Cover of the book Spreading Activation, Lexical Priming and the Semantic Web by Michael Pace-Sigge, Springer International Publishing
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Author: Michael Pace-Sigge ISBN: 9783319907192
Publisher: Springer International Publishing Publication: June 4, 2018
Imprint: Palgrave Pivot Language: English
Author: Michael Pace-Sigge
ISBN: 9783319907192
Publisher: Springer International Publishing
Publication: June 4, 2018
Imprint: Palgrave Pivot
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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