| Description |
xxxvii, 680 pages ; 24 cm |
| Contents |
1. Introduction -- 2. Mathematical foundations -- 3. Linguistic essentials -- 4. Corpus-based work -- 5. Collocations -- 6. Statistical inference: n-gram models over sparse data -- 7. Word sense disambiguation -- 8. Lexical Aacquisition -- 9. Markov models -- 10. Part-of-speech tagging -- 11. Probabilistic context free grammars -- 12. Probabilistic parsing -- 13. Statistical alignment and machine translation -- 14. Clustering -- 15. Topics in information retrieval -- 16. Text categorization |
| Summary |
"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 PUBLISHER WEBSITE |
| Notes |
Includes index |
| Bibliography |
Includes bibliographical references (pages 611-655) and index |
| Notes |
Also available via the World Wide Web |
| Subject |
Natural language processing (Computer science)
|
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Computational linguistics.
|
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English language -- Data processing.
|
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Mathematical linguistics -- Statistical methods.
|
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Computational linguistics -- Statistical methods.
|
| Reading List |
SIT330 recommended text 2024
|
|
SIT770 recommended text 2024
|
| Author |
Schütze, Hinrich.
|
| LC no. |
99021137 |
| ISBN |
0262133601 |
|
