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Good condition with moderate shelf wear to binding and pages. Some highlighting and notes. Good condition with moderate shelf wear to binding and pages. Some highlighting and notes. See less
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Hinrich Schütze
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Foundations Of Statistical Nat Hardcover – 21 June 1905

by Christopher Manning (Author)
4.4 out of 5 stars 59 ratings
Edition: 1st
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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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  1. ISBN-10
    0262133601
  2. ISBN-13
    978-0262133609
  3. Edition
    1st
  4. Publisher
    MIT Press Academic
  5. Publication date
    21 June 1905
  6. Language
    English
  7. Dimensions
    24.03 x 20.42 x 3.18 cm
  8. Print length
    1 pages
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"Statistical natural-language processing is, in my estimation, one ofthe most fast-moving and exciting areas of computer science thesedays. Anyone who wants to learn this field would be well advised toget this book. For that matter, the same goes for anyone who isalready in the field. I know that it is going to be one of the mostwell-thumbed books on my bookshelf." Eugene Charniak , Department of Computer Science, Brown University

Product details

  • Publisher ‏ : ‎ MIT Press Academic; 1st edition (21 June 1905)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 1 pages
  • ISBN-10 ‏ : ‎ 0262133601
  • ISBN-13 ‏ : ‎ 978-0262133609
  • Reading age ‏ : ‎ 18 years and up
  • Dimensions ‏ : ‎ 24.03 x 20.42 x 3.18 cm
  • Customer Reviews:
    4.4 out of 5 stars 59 ratings

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  1. Hinrich Schütze

    Hinrich Schütze

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  2. Christopher D. Manning

    Christopher D. Manning

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    Christopher Manning is a professor of computer science and linguistics at Stanford University. His Ph.D. is from Stanford in 1994, and he held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford. His research goal is computers that can intelligently process, understand, and generate human language material. Manning concentrates on machine learning approaches to computational linguistic problems, including syntactic parsing, computational semantics and pragmatics, textual inference, machine translation, and deep learning for NLP. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and has coauthored leading textbooks on statistical natural language processing and information retrieval. He is a member of the Stanford NLP group (@stanfordnlp).

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  • Jack Sparrow
    5.0 out of 5 stars Self-contained and instructive, read the TOC first!
    Reviewed in the United States on 26 May 2002
    Verified Purchase
    Compared to the slightly overrated Jurafsky and Martin's classic, this book aims less targets but hits them all more precisely, completely and satisfactory for the reader. That is, just to give you an idea on what to expect, instead of attacking 200 problems on 2 pages each, this book attacks only 40 problems on 10 pages each.

    So, read the TOC before you buy the book: if you find your topics there, you're done, you are saved, buy it and be happy. In contrast, you can buy Jurafsky's book without caring to read the TOC: your problem is likely to be mentioned there but it's quite unlikely to be detailed enough to satisfy you.

    Some introductory chapters take too much space and some advanced topics are missing. But the book is actually named "Foundations of..." so it seems to deliver precisely what it promisses, which is a precious and rare accomplishment by itself. I recommend this book.
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  • rodolfo guzzi
    5.0 out of 5 stars Best choice
    Reviewed in Italy on 17 February 2016
    Verified Purchase
    This book is a fundamental tool to understand the natural language and related rules. It is the best choice we can make to understand the language and translate it to the computer.
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  • Y.O.
    4.0 out of 5 stars 統計的自然言語処理の定番教科書
    Reviewed in Japan on 15 August 2010
    Verified Purchase
    統計的自然言語処理の定番教科書です。

    多くの自然言語処理の研究室が輪読に使っており、これ1冊を読みきればNLPの基礎は身についたといっていいと思います。
    1998年出版なので内容はやや古くなってきましたが、CRFなどの最新の理論は論文や高村本（[...])などの和書で学ぶと良いと思います。
    それと、音声認識の分野はカバーされていないのでそちらを専門にしたい方は注意が必要です。
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  • Valentini Mellas
    5.0 out of 5 stars Five Stars
    Reviewed in the United Kingdom on 20 July 2016
    Verified Purchase
    Absolutely essential!
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  • Amazon Customer
    4.0 out of 5 stars Good - Recommended for NLP practitioners
    Reviewed in India on 18 March 2018
    Verified Purchase
    One of the finest introductory text in NLP. Deals statistical aspects of NLP in detail.
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