Verwandte Artikel zu Machine Learning of Natural Language
Inhaltsangabe
We are still a long way from designing computers that can understand human languages. The authors view natural language as fundamental to human cognitive processes and perhaps the key to making machines that can understand us. In this electronic age, language is increasingly the province of workers in the fields of cognitive psychology and artificial intelligence who record, transmit, simulate and analyse its form and representation. The authors explore current thinking in the search for machine understanding of human languages, focusing on how computing machinery can acquire the cognitive structures which occur in natural language. The book begins with a summary of basic views of methodology, bringing together linguistic, scientific, neurological and related cognitive approaches. It concludes with a description of experimental learning mechanisms, some of which are simplifications of the way a natural language acquisition system might be built, and some example programs in PROLOG.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
We met because we both share the same views of language. Language is a living organism, produced by neural mechanisms relating in large numbers as a society. Language exists between minds, as a way of communicating between them, not as an autonomous process. The logical 'rules' seem to us an epiphe nomena ·of the neural mechanism, rather than an essential component in language. This view of language has been advocated by an increasing number of workers, as the view that language is simply a collection of logical rules has had less and less success. People like Yorick Wilks have been able to show in paper after paper that almost any rule which can be devised can be shown to have exceptions. The meaning does not lie in the rules. David Powers is a teacher of computer science. Christopher Turk, like many workers who have come into the field of AI (Artificial Intelligence) was originally trained in literature. He moved into linguistics, and then into computational linguistics. In 1983 he took a sabbatical in Roger Shank's AI project in the Computer Science Department at Yale University. Like an earlier visitor to the project, John Searle from California, Christopher Turk was increasingly uneasy at the view of language which was used at Yale.
Reseña del editor
We are still a long way from designing computers that can understand human languages. The authors view natural language as fundamental to human cognitive processes and perhaps the key to making machines that can understand us. In this electronic age, language is increasingly the province of workers in the fields of cognitive psychology and artificial intelligence who record, transmit, simulate and analyse its form and representation. The authors explore current thinking in the search for machine understanding of human languages, focusing on how computing machinery can acquire the cognitive structures which occur in natural language. The book begins with a summary of basic views of methodology, bringing together linguistic, scientific, neurological and related cognitive approaches. It concludes with a description of experimental learning mechanisms, some of which are simplifications of the way a natural language acquisition system might be built, and some example programs in PROLOG.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 53,04
EUR 3,42 für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerWeitere beliebte Ausgaben desselben Titels
Suchergebnisse für Machine Learning of Natural Language
Beispielbild für diese ISBN
Machine Learning of Natural Language.
Anbieter: Plurabelle Books Ltd, Cambridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. x 358p large paperback, notes, illustrations, on Metaphor as a Cognitive Process; Nativism and Constructivism; Heuristics and Analytic Intransigence; Computer Modelling Experiments, etc, almost as new Language: English. Bestandsnummer des Verkäufers 50763
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Machine Learning of Natural Language
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar3113020162133
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Machine Learning of Natural Language (Paperback)
ISBN 10: 3540195572
ISBN 13: 9783540195573
Neu
Paperback
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. We met because we both share the same views of language. Language is a living organism, produced by neural mechanisms relating in large numbers as a society. Language exists between minds, as a way of communicating between them, not as an autonomous process. The logical 'rules' seem to us an epiphe nomena of the neural mechanism, rather than an essential component in language. This view of language has been advocated by an increasing number of workers, as the view that language is simply a collection of logical rules has had less and less success. People like Yorick Wilks have been able to show in paper after paper that almost any rule which can be devised can be shown to have exceptions. The meaning does not lie in the rules. David Powers is a teacher of computer science. Christopher Turk, like many workers who have come into the field of AI (Artificial Intelligence) was originally trained in literature. He moved into linguistics, and then into computational linguistics. In 1983 he took a sabbatical in Roger Shank's AI project in the Computer Science Department at Yale University. Like an earlier visitor to the project, John Searle from California, Christopher Turk was increasingly uneasy at the view of language which was used at Yale. We met because we both share the same views of language. This view of language has been advocated by an increasing number of workers, as the view that language is simply a collection of logical rules has had less and less success. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9783540195573
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Machine Learning of Natural Language
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9783540195573_new
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Machine Learning of Natural Language
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
PF. Zustand: New. Bestandsnummer des Verkäufers 6666-IUK-9783540195573
Anzahl: 10 verfügbar
Beispielbild für diese ISBN
Machine Learning of Natural Language
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 368 pages. 9.53x6.69x0.84 inches. In Stock. Bestandsnummer des Verkäufers x-3540195572
Anzahl: 2 verfügbar
Foto des Verkäufers
Machine Learning of Natural Language
Print-on-DemandAnbieter: moluna, Greven, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. We met because we both share the same views of language. Language is a living organism, produced by neural mechanisms relating in large numbers as a society. Language exists between minds, as a way of communicating between them, not as an autonomous process. Bestandsnummer des Verkäufers 4884200
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Machine Learning of Natural Language
Print-on-DemandAnbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We are still a long way from designing computers that can understand human languages. The authors view natural language as fundamental to human cognitive processes and perhaps the key to making machines that can understand us. In this electronic age, language is increasingly the province of workers in the fields of cognitive psychology and artificial intelligence who record, transmit, simulate and analyse its form and representation. The authors explore current thinking in the search for machine understanding of human languages, focusing on how computing machinery can acquire the cognitive structures which occur in natural language. The book begins with a summary of basic views of methodology, bringing together linguistic, scientific, neurological and related cognitive approaches. It concludes with a description of experimental learning mechanisms, some of which are simplifications of the way a natural language acquisition system might be built, and some example programs in PROLOG. Die Autoren erforschen aktuelle Denkrichtungen, die das Ziel haben, daß Maschinen natürliche Sprachen verstehen. Zunächst wird eine Zusammenfassung der grundlegenden Methodik gegeben; am Schluß werden experimentelle Lernmechanismen und Beispielprogramme in PROLOG beschrieben. 372 pp. Englisch. Bestandsnummer des Verkäufers 9783540195573
Anzahl: 2 verfügbar
Foto des Verkäufers
Machine Learning of Natural Language
Verlag:
Springer London, Springer Berlin Heidelberg Dez 1989, 1989
ISBN 10: 3540195572
ISBN 13: 9783540195573
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -We met because we both share the same views of language. Language is a living organism, produced by neural mechanisms relating in large numbers as a society. Language exists between minds, as a way of communicating between them, not as an autonomous process. The logical 'rules' seem to us an epiphe nomena of the neural mechanism, rather than an essential component in language. This view of language has been advocated by an increasing number of workers, as the view that language is simply a collection of logical rules has had less and less success. People like Yorick Wilks have been able to show in paper after paper that almost any rule which can be devised can be shown to have exceptions. The meaning does not lie in the rules. David Powers is a teacher of computer science. Christopher Turk, like many workers who have come into the field of AI (Artificial Intelligence) was originally trained in literature. He moved into linguistics, and then into computational linguistics. In 1983 he took a sabbatical in Roger Shank's AI project in the Computer Science Department at Yale University. Like an earlier visitor to the project, John Searle from California, Christopher Turk was increasingly uneasy at the view of language which was used at Yale.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch. Bestandsnummer des Verkäufers 9783540195573
Anzahl: 1 verfügbar
Foto des Verkäufers
Machine Learning of Natural Language
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - We are still a long way from designing computers that can understand human languages. The authors view natural language as fundamental to human cognitive processes and perhaps the key to making machines that can understand us. In this electronic age, language is increasingly the province of workers in the fields of cognitive psychology and artificial intelligence who record, transmit, simulate and analyse its form and representation. The authors explore current thinking in the search for machine understanding of human languages, focusing on how computing machinery can acquire the cognitive structures which occur in natural language. The book begins with a summary of basic views of methodology, bringing together linguistic, scientific, neurological and related cognitive approaches. It concludes with a description of experimental learning mechanisms, some of which are simplifications of the way a natural language acquisition system might be built, and some example programs in PROLOG. Die Autoren erforschen aktuelle Denkrichtungen, die das Ziel haben, daß Maschinen natürliche Sprachen verstehen. Zunächst wird eine Zusammenfassung der grundlegenden Methodik gegeben; am Schluß werden experimentelle Lernmechanismen und Beispielprogramme in PROLOG beschrieben. Bestandsnummer des Verkäufers 9783540195573
Anzahl: 1 verfügbar