Foundations of Statistical Natural Language Processing (Record no. 294618)

MARC details
000 -LEADER
fixed length control field 02371nam a2200169Ia 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262133609
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 410.285 MAN-F
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Christopher D Manning
245 ## - TITLE STATEMENT
Title Foundations of Statistical Natural Language Processing
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge, Mass
Name of publisher, distributor, etc. MIT Press
Date of publication, distribution, etc. 1999
300 ## - PHYSICAL DESCRIPTION
Extent xxxvii, 680 pages ; 24 cm
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note List of Tables -- List of Figures -- Table of Notations -- Preface -- Road Map -- I. Preliminaries -- 1. Introduction -- 2. Mathematical Foundations -- 3. Linguistics Essentials -- 4. Corpus-Based Work -- II. Words -- 5. Collocations -- 6. Statistical Inference: n-gram Models over Sparse Data -- 7. Word Sense Disambiguation -- 8. Lexical Acquisition -- III. Grammar -- 9. Markov Models -- 10. Part-of-Speech Tagging -- 11. Probabilistic Context Free Grammars -- 12. Probabilistic Parsing -- IV. Applications and Techniques -- 13. Statistical Alignment and Machine Translation -- 14. Clustering -- 15. Topics in Information Retrieval -- 16. Text Categorization -- Tiny Statistical Tables -- Bibliography -- Index.
520 ## - SUMMARY, ETC.
Summary, etc. Statistical natural-language processing is, in my estimation, one of the most fast-moving and exciting areas of computer science these days. Anyone who wants to learn this field would be well advised to get this book. For that matter, the same goes for anyone who is already in the field. I know that it is going to be one of the most well-thumbed books on my bookshelf.\\\ -- Eugene Charniak, Department of Computer Science, Brown UniversityStatistical 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computational linguistics -- Statistical methods. Linguistique informatique -- Méthodes statistiques. Statistische methoden.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hinrich Schütze
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Dept. of Computational Biology and Bioinformatics Dept. of Computational Biology and Bioinformatics Processing Center 01/09/2015   410/.285 MAN-F DCB1253 01/09/2015 01/09/2015 Book