Foundations of Statistical Natural Language Processing by Christopher D. Manning

Main page

Editions

Foundations of Statistical Natural Language Processing

by Christopher D. Manning

Members	Reviews	Popularity	Average rating	Conversations
159	2	37,292	(4.39)	None

Add to your library

Add to wishlist

all members

▾Members

Recently added by

Felagund, dal9898, bruce_krafft, SarahBasore, anelsewhere, tkennedy, heuristicist, daandi, pandammonium, tomasz2611

numbers

show all

▾Tags

algorithms(3) artificial intelligence(1) computation(1) computational linguistics(19) computer science(15) computers(6) computing(1) cs(2) data mining(1) information retrieval(2) information science(1) IT(1) language(1) linguistics(19) machine learning(2) mathematics(4) natural language processing(20) NLP(20) non-fiction(6) probability(2) programming(3) Statistical(1) statistical nlp(2) statistics(20) technical(1) text analysis(1) text mining(2) textbook(8) US(1) wishlist(4)

▾Will you like it?

won't like will probably not like will probably like will like will love

▾Member reviews

date ▼ | votes

Showing 2 of 2

Along with Speech and Natural Language Processing by Jurafsky and Martin, this is the standard book on using probabilistic methods to analyze natural language. It has clear discussions of such core areas as N-gram language modeling, parsing, part of speech tagging, and information retrieval. The exceptionally lucid chapter on Hidden Markov Models is worth the price of the book alone. This is the best introductory textbook for newcomers and a useful reference for everyone else. Essential. (

)

billmcn | May 16, 2007 |

Although the required text for the class in statistical natural language processing, this was not as clear, particularly regarding algorithms, as "Speech and Language Processing" by Jurafsky and Martin. (

)

billlund | Dec 26, 2006 |

date ▼ | votes

Showing 2 of 2

▾Published reviews

no reviews | add a review

view history

▾Common Knowledge

You must log in to edit Common Knowledge data.

For more help see the Common Knowledge help page.

Series (with order)

Canonical Title

Original publication date

People/Characters

Important places

Important events

Related movies

Awards and honors

Epigraph

Dedication

First words

Quotations

Last words

Disambiguation notice

Publisher's editors

Blurbers

▾References

References to this work on external resources.

Wikipedia in English (3)

Hapax legomenon

Jensen–Shannon divergence

N-gram

▾LibraryThing members' description

Book description

▾Book descriptions

Amazon.com Product Description (ISBN 0262133601, 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.

(retrieved from Amazon Fri, 24 Apr 2009 07:58:15 -0400)

▾Open Shelves Classification

The first test round has been closed. Visit the Open Shelves Classification group for details.