Spreading Activation, Lexical Priming and the Semantic Web: Early Psycholinguistic Theories, Corpus Linguistics and AI Applications - Hardcover

Pace-Sigge, Michael

 
9783319907185: Spreading Activation, Lexical Priming and the Semantic Web: Early Psycholinguistic Theories, Corpus Linguistics and AI Applications
Hardcover
ISBN 10: 3319907182 ISBN 13: 9783319907185
Verlag: Palgrave Pivot, 2018

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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).

Von der hinteren Coverseite

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).

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Verlag
Palgrave Pivot
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
3319907182
ISBN 13 
9783319907185
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
148
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Vorgestellte Ausgabe

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Softcover