Foundations of Statistical Natural Language Processing
by Christopher D. Manning, Hinrich Schuetze
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Book Summary Information
Author: Christopher D. Manning, Hinrich SchuetzeEdition: Hardcover
Audio: English (Original Language); English (Unknown); English (Published)
Published: 1999-06-18
ISBN: 0262133601
Number of pages: 620
Publisher: The MIT Press
Book Reviews of Foundations of Statistical Natural Language Processing
Book Review: Good book for people interested in Natural Language Processing.
Summary: 4 Stars
This is a good book for people who are interested in computational linguists, machine
learning experts who are looking for new application domains and in general for someone who wants an introduction to statistical computational linguistics.
The book is self contained and very well written. It treats most of the general statistical approaches to language processing such as language models, smoothing, etc.. in an excellent, but introductory manner. The book is a good start for any one looking to enter statistical nlp, however for advanced readers who would like to see the cutting edge of statistical computational linguistics they should look somewhere else.
Summary of Foundations of Statistical Natural Language Processing
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.Linguistics Books
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