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Foundations of Statistical Natural Language Processing - Christopher D. Manning, Hinrich Schütze
Foundations of Statistical Natural Language Processing
4.00 10
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... show more
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.
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Format: hardcover
ISBN: 9780262133609 (0262133601)
Publisher: The MIT Press
Pages no: 620
Edition language: English
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Community Reviews
Amadan na Briona
Amadan na Briona rated it
4.0
This and Speech and Language Processing by Jurafsky and Martin are the two big introductory texts in natural language processing. I prefer the Jurafsky book; it goes into more detail, has more examples, and is written more for use as a class text. The Manning and Schutze book is much more mathematic...
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