memory based language processing de daelemans walter (35 résultats)

hardcover. Etat : Very Good. No DJ as issued. No dust jacket. Very Good hardcover with light shelfwear - NICE! Standard-sized.

Hardcover. Etat : Très bon. Ancien livre de bibliothèque. Edition 2005. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2005. Ammareal gives back up to 15% of this item's net price to charity organizations.

paperback. Etat : Very Good. Small crease on back cover. Minor wear. No marks in text.

Etat : New.

Paperback or Softback. Etat : New. Memory-Based Language Processing. Book.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New. In.

PF. Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Hardcover. Etat : new. Hardcover. Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct re-use 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New. In.

Etat : New. pp. vii + 189.

Hardcover. Etat : Brand New. 189 pages. 9.50x6.50x0.75 inches. In Stock.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Discusses the theory and practice of memory-based language processing - a machine learning method for modelling language.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Paperback. Etat : Brand New. 1st edition. 197 pages. 8.90x5.98x0.55 inches. In Stock. This item is printed on demand.

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Etat : Brand New. 189 pages. 9.50x6.50x0.75 inches. In Stock. This item is printed on demand.

Paperback. Etat : 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.

Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 480.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 comprehensi.

Paperback. Etat : 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.

Etat : New. Print on Demand pp. vii + 189.

Hardcover. Etat : new. Hardcover. Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct re-use 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.