Foundations of Statistical Natural Language Processing (Hardcover)

Christopher Manning

ISBN 10: 0262133601 / ISBN 13: 9780262133609

Edité par MIT Press Ltd, Cambridge, Mass., 1999

A propos de cet article

Hardcover. Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications. An introduction to statistical natural language processing (NLP). The text contains the theory and algorithms needed for building NLP tools. Topics covered include: mathematical and linguistic foundations; statistical methods; collocation finding; word sense disambiguation; and probalistic parsing. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

N° de réf. du vendeur 9780262133609

Détails bibliographiques

• Titre: Foundations of Statistical Natural Language Processing (Hardcover)
• Éditeur: MIT Press Ltd, Cambridge, Mass.
• Date de parution: 1999
• Langue: anglais
• ISBN à 10 chiffres: 0262133601
• ISBN à 13 chiffres: 9780262133609
• Reliure: Hardcover
• Édition: Edition originale
• État de l'article: new

A propos de ce titre

Synopsis

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.