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Published by Cambridge University Press, 2009
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Condition: New. This book discusses the theory and practice of memory-based language processing - a machine learning method for modelling language. Series: Studies in Natural Language Processing. Num Pages: 200 pages, black & white illustrations. BIC Classification: CF. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 12. Weight in Grams: 300. . 2009. 1st Edition. paperback. . . . . Books ship from the US and Ireland.
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Paperback. Condition: new. Paperback. Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers. This book discusses the theory and practice of memory-based language processing - a machine learning and problem solving method for language technology - showing its comparative strengths over alternative methods of language modelling. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condition: new. Paperback. Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers. This book discusses the theory and practice of memory-based language processing - a machine learning and problem solving method for language technology - showing its comparative strengths over alternative methods of language modelling. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Cambridge University Press, 2009
ISBN 10: 0521114454 ISBN 13: 9780521114455
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Published by Cambridge University Press, Cambridge, 2010
ISBN 10: 0521114454 ISBN 13: 9780521114455
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Paperback. Condition: new. Paperback. Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers. This book discusses the theory and practice of memory-based language processing - a machine learning and problem solving method for language technology - showing its comparative strengths over alternative methods of language modelling. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Published by Cambridge University Press, 2009
ISBN 10: 0521114454 ISBN 13: 9780521114455
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Taschenbuch. Condition: Neu. Memory-Based Language Processing | Walter Daelemans (u. a.) | Taschenbuch | Englisch | 2009 | Cambridge University Press | EAN 9780521114455 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.