Speech and Language Processing
For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. 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
1 online resource (944 pages)
9781292037936, 1292037938
1024271866
Cover
Table of Contents
Chapter 1. Introduction
Chapter 2. Regular Expressions and Automata
Chapter 3. Words and Transducers
Chapter 4. N-Grams
Chapter 5. Part-of-Speech Tagging
Chapter 6. Hidden Markov and Maximum Entropy Models
Chapter 7. Phonetics
Chapter 8. Speech Synthesis
Chapter 9. Automatic Speech Recognition
Chapter 10. Speech Recognition: Advanced Topics
Chapter 11. Computational Phonology
Chapter 12. Formal Grammars of English
Chapter 13. Syntactic Parsing
Chapter 14. Statistical Parsing
Chapter 15. Features and Unification Chapter 16. Language and Complexity
Chapter 17. The Representation of Meaning
Chapter 18. Computational Semantics
Chapter 19. Lexical Semantics
Chapter 20. Computational Lexical Semantics
Chapter 21. Computational Discourse
Chapter 22. Information Extraction
Chapter 23. Question Answering and Summarization
Chapter 24. Dialogue and Conversational Agents
Chapter 25. Machine Translation
Index
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D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
public.eblib.com Click here to view book
public.eblib.com Click here to view book
public.eblib.com Click here to view book