Leseprobe
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Spreading Activation, Lexical Priming and the Semantic Web
Michael Pace-Sigge
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Springer International Publishing 
Geisteswissenschaften, Kunst, Musik / Allgemeine und Vergleichende Sprachwissenschaft
Beschreibung
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.
Kundenbewertungen
semantic memory, Voice recognition applications, M. Ross Quillian, digital translators, Semantic web, probabilistic grammar, Artificial Intelligence, Alan Turing, Corpus Linguistics, Natural Language Processing, n-gram model, Lexical Priming, spreading activation, Discourse analysis, ECHO, Siri, Peter Norvig, Google Go, Michael Hoey