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101 0 $aeng
135   $aurnn#008mamaa
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182   $cc$2rdamedia
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200 10$aSpreading Activation, Lexical Priming and the Semantic Web $eEarly Psycholinguistic Theories, Corpus Linguistics and AI Applications /$fby Michael Pace-Sigge
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Pivot,$d2018.
215   $a1 online resource (XIII, 135 p. 15 illus.)
311   $a3-319-90718-2 
327   $aChapter 1: Introduction -- Chapter 2: M. Ross Quillian, priming, spreading-activation and the semantic web -- Chapter 3: Where corpus linguistics and artificial intelligence (AI) meet -- Chapter 4: Take home messages for linguists and artificial intelligence designers -- Chapter 5: Conclusions.
330   $aThis 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).
606   $aCorpora (Linguistics)
606   $aArtificial intelligence
606   $aPsycholinguistics
606   $aLexicology
606   $aPragmatics
606   $aTranslation and interpretation
606   $aCorpus Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N59000
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aPsycholinguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N35000
606   $aLexicology/Vocabulary$3https://scigraph.springernature.com/ontologies/product-market-codes/N52000
606   $aPragmatics$3https://scigraph.springernature.com/ontologies/product-market-codes/N54000
606   $aTranslation$3https://scigraph.springernature.com/ontologies/product-market-codes/N47000
615  0$aCorpora (Linguistics).
615  0$aArtificial intelligence.
615  0$aPsycholinguistics.
615  0$aLexicology.
615  0$aPragmatics.
615  0$aTranslation and interpretation.
615 14$aCorpus Linguistics.
615 24$aArtificial Intelligence.
615 24$aPsycholinguistics.
615 24$aLexicology/Vocabulary.
615 24$aPragmatics.
615 24$aTranslation.
676   $a410.188
700   $aPace-Sigge$b Michael$f1970-$4aut$4http://id.loc.gov/vocabulary/relators/aut$0981437
906   $aBOOK
912   $a9910300598703321
996   $aSpreading Activation, Lexical Priming and the Semantic Web$92517195
997   $aUNINA