Speech and Language Processing is a comprehensive book on
web-based language techniques. The book comprises of chapters which
thoroughly cover the language technology including regular expressions
and automata, part-of-speech tagging, phonetics, speech recognition,
syntax and semantics and pragmatics. In addition, the book consists of
extra chapters on statistical sequence labeling, information extraction,
and speech synthesis. This book is essential for professionals and
students of computer science engineering.
About the Authors
Daniel Jurafsky completed his Ph.D. in computer science from the University of California at Berkeley. His research interests include speech processing in humans and machines.
James H. Martin is a professor of computer science, a fellow in the Institute of Cognitive Science, and co-director of the Center for Computational Language and Education Research.
Table of contents
1. Introduction
Part I Words
2. Regular Expressions and Automata
3. Words and Transducers
4. N-grams
5. Part-of-Speech Tagging
6. Hidden Markov and Maximum Entropy Models
Part II Speech
7. Phonetics
8. Speech Synthesis
9. Automatic Speech Recognition
10. Speech Recognition: Advanced Topics
11. Computational Phonology
Part III Syntax
12. Formal Grammars of English
13. Syntactic Parsing
14. Statistical Parsing
15. Features and Unification
16. Language and Complexity
Part IV Semantics and Pragmatics
17. The Representation of Meaning
18. Computational Semantics
19. Lexical Semantics
20. Computational Lexical Semantics
21. Computational Discourse
Part V Applications
22. Information Extraction
23. Question Answering and Summarization
24. Dialogue and Conversational Agents
25. Machine Translation
Specifications of Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition (English) 2nd Edition (Paperback) by James H. Martin , Daniel JurafskyAbout the Authors
Daniel Jurafsky completed his Ph.D. in computer science from the University of California at Berkeley. His research interests include speech processing in humans and machines.
James H. Martin is a professor of computer science, a fellow in the Institute of Cognitive Science, and co-director of the Center for Computational Language and Education Research.
Table of contents
1. Introduction
Part I Words
2. Regular Expressions and Automata
3. Words and Transducers
4. N-grams
5. Part-of-Speech Tagging
6. Hidden Markov and Maximum Entropy Models
Part II Speech
7. Phonetics
8. Speech Synthesis
9. Automatic Speech Recognition
10. Speech Recognition: Advanced Topics
11. Computational Phonology
Part III Syntax
12. Formal Grammars of English
13. Syntactic Parsing
14. Statistical Parsing
15. Features and Unification
16. Language and Complexity
Part IV Semantics and Pragmatics
17. The Representation of Meaning
18. Computational Semantics
19. Lexical Semantics
20. Computational Lexical Semantics
21. Computational Discourse
Part V Applications
22. Information Extraction
23. Question Answering and Summarization
24. Dialogue and Conversational Agents
25. Machine Translation
| Publisher | Pearson India |
| ISBN-10 | 9332518416 |
| Edition | 2nd Edition |
| Number of Pages | 940 Pages |
| Publication Year | 2014 |
| Language | English |
| ISBN-13 | 9789332518414 |
| Binding | Paperback |
CLICK HERE to Buy Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition (English) 2nd Edition (Paperback) by James H. Martin , Daniel Jurafsky with special discounts and Options with Cash On Delivery, 30 Day Replacement Guarantee and Free Home Delivery.
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