Preface
1 Introduction
I: Words
2 Regular Expressions and Automata
3 Morphology and Finite-State Transducers
4 Computational Phonology and Pronunciation
Modeling
5 Probabilistic Models of Pronunciation and
Spelling
II: Syntax
6 N-gram Models of Syntax
7 HMMs and Speech Recognition
8 Word Classes and Part-of-Speech Tagging
9 Context-Free Grammars for English
10 Parsing with Context-Free Grammars
11 Features and Unification
12 Lexicalized and Probabilistic Parsing
13 Language and Complexity |
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III: Semantics
14 Representing Meaning
15 Semantic Analysis
16 Lexical Semantics
17
Word Sense Disambiguation and Information Retrieval
IV: Pragmatics
18 Discourse
19 Dialog and Conversational Agents
20 Natural Language Generation
V: Multilingual Processing
21 Machine Translation
Appendices
A Regular Expression Operators
B The Porter Stemming Algorithm
C C5 and C7 Tagsets
D Training HMMs: The Forward-Backward Algorithm |