Foundations of statistical natural language processing
Manning, Christopher D.
Foundations of statistical natural language processing - Cambridge Mass. : MIT Press 1999 - xxxvii, 680 p. 24 cm.
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 --
"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. Book jacket."--Jacket.
9780262133609
Computational linguistics--Statistical methods
Computational linguistics
410.285 / MAN
Foundations of statistical natural language processing - Cambridge Mass. : MIT Press 1999 - xxxvii, 680 p. 24 cm.
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 --
"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. Book jacket."--Jacket.
9780262133609
Computational linguistics--Statistical methods
Computational linguistics
410.285 / MAN