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Published by College Publications, 2022
ISBN 10: 184890388X ISBN 13: 9781848903883
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ISBN 10: 184890388X ISBN 13: 9781848903883
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Published by College Publications, 2022
ISBN 10: 184890388X ISBN 13: 9781848903883
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Published by College Publications, 2022
ISBN 10: 184890388X ISBN 13: 9781848903883
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ISBN 10: 184890388X ISBN 13: 9781848903883
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ISBN 10: 184890388X ISBN 13: 9781848903883
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Published by College Publications, 2022
ISBN 10: 184890388X ISBN 13: 9781848903883
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Published by Centre for the Study of Language & Information, Stanford, 2023
ISBN 10: 1684000793 ISBN 13: 9781684000791
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Paperback. Condition: new. Paperback. A textbook exploring predictive modes of linguistic development and analysis. During the last two decades, computational linguists, in concert with other researchers in AI, have turned to machine learning and statistical techniques to capture features of natural language and aspects of the learning process that are not easily accommodated in classical algebraic frameworks. These developments are producing a revolution in linguistics in which traditional symbolic systems are giving way to probabilistic and deep learning approaches. This collection features articles that provide background to these approaches, and their application in syntax, semantics, pragmatics, morphology, psycholinguistics, neurolinguistics, and dialogue modeling. Each chapter provides a self-contained introduction to the topic that it covers, making this volume accessible to graduate students and researchers in linguistics, NLP, AI, and cognitive science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by College Publications, 2022
ISBN 10: 184890388X ISBN 13: 9781848903883
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Published by Center for the Study of Language and Inf, 2023
ISBN 10: 1684000793 ISBN 13: 9781684000791
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Published by Centre for the Study of Language and Information, 2023
ISBN 10: 1684000793 ISBN 13: 9781684000791
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Published by Centre for the Study of Language and Information, 2023
ISBN 10: 1684000793 ISBN 13: 9781684000791
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Published by Centre for the Study of Language & Information, 2023
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ISBN 10: 1684000793 ISBN 13: 9781684000791
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Paperback. Condition: New. A textbook exploring predictive modes of linguistic development and analysis. During the last two decades, computational linguists, in concert with other researchers in AI, have turned to machine learning and statistical techniques to capture features of natural language and aspects of the learning process that are not easily accommodated in classical algebraic frameworks. These developments are producing a revolution in linguistics in which traditional symbolic systems are giving way to probabilistic and deep learning approaches. This collection features articles that provide background to these approaches, and their application in syntax, semantics, pragmatics, morphology, psycholinguistics, neurolinguistics, and dialogue modeling. Each chapter provides a self-contained introduction to the topic that it covers, making this volume accessible to graduate students and researchers in linguistics, NLP, AI, and cognitive science.
Language: English
Published by Center for the Study of Language and Inf, 2023
ISBN 10: 1684000793 ISBN 13: 9781684000791
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Published by Stanford Univ Center for the Study, 2023
ISBN 10: 1684000793 ISBN 13: 9781684000791
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Published by Centre for the Study of Language & Information, 2023
ISBN 10: 1684000793 ISBN 13: 9781684000791
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Published by Centre for the Study of Language & Information, Stanford, 2023
ISBN 10: 1684000793 ISBN 13: 9781684000791
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Paperback. Condition: new. Paperback. A textbook exploring predictive modes of linguistic development and analysis. During the last two decades, computational linguists, in concert with other researchers in AI, have turned to machine learning and statistical techniques to capture features of natural language and aspects of the learning process that are not easily accommodated in classical algebraic frameworks. These developments are producing a revolution in linguistics in which traditional symbolic systems are giving way to probabilistic and deep learning approaches. This collection features articles that provide background to these approaches, and their application in syntax, semantics, pragmatics, morphology, psycholinguistics, neurolinguistics, and dialogue modeling. Each chapter provides a self-contained introduction to the topic that it covers, making this volume accessible to graduate students and researchers in linguistics, NLP, AI, and cognitive science. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032071044 ISBN 13: 9781032071046
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Published by College Publications, 2022
ISBN 10: 184890388X ISBN 13: 9781848903883
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