Front cover image for Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition

Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition

Dan Jurafsky (Author), James H. Martin (Author)
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora. Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing
Print Book, English, 2009
Second edition. Pearson international edition View all formats and editions
Pearson Prentice Hall, Upper Saddle River, New Jersey, 2009
1024 pages : illustrations ; 23 cm
9780135041963, 0135041961
962364784
Introduction
Words
Regular Expressions and Automata
Words and Transducers
N-grams
Part-of-Speech Tagging
Hidden Markov and Maximum Entropy Models
Speech
Phonetics
Speech Synthesis
Automatic Speech Recognition
Speech Recognition: Advanced Topics
Computational Phonology
Syntax
Formal Grammars of English
Parsing with Context-Free Grammars
Statistical Parsing
Features and Uni-cation
Language and Complexity
Semantics and pragmatics
Representing Meaning
Computational Semantics
Lexical Semantics
Computational Lexical Semantics
Computational Discourse
Applications
Information Extraction
Question Answering and Summarization
Dialogue and Conversational Agents
Machine Translation
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