Jurafsky, Daniel Martin, James H.
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition - 2nd ed. - Noida Pearson c2014 - 940p.; 25cm.
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
An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology — at all levels and with all modern technologies — this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.
9789332518414
Computer science
Natural language
Computational linguistics
Speech recognition
006.35 JUR/S
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition - 2nd ed. - Noida Pearson c2014 - 940p.; 25cm.
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
An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology — at all levels and with all modern technologies — this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.
9789332518414
Computer science
Natural language
Computational linguistics
Speech recognition
006.35 JUR/S