eBook By Category (Natural Language Processing)
QuickInfo about Natural Language Processing
Natural language processing (NLP) is a subfield of artificial intelligence and linguistics. It studies the problems of automated generation and understanding of natural human languages. Natural language generation systems convert information from computer databases into normal-sounding human language, and natural language understanding systems convert samples of human language into more formal representations that are easier for computer programs to manipulate.
eBooks
Articulation and Intelligibility (Synthesis Lectures on Speech and Audio Processing)
 | This lecture is a review of what is known about modeling human speech recognition (HSR)... |
Digital Speech Processing, Synthesis and Recognition Second Edition Revised and Expanded (Signal Processing and Communications, 7)
 | A study of digital speech processing, synthesis and recognition... |
Expression in Speech: Analysis and Synthesis
 | All human speech has expression... |
Natural Language Understanding, Second Edition
 | Reflecting the latest research developments, this second edition offers a uniform framework based on feature-based context-free grammars and chart parsers that are used for syntactic and semantic processing... |
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
 | This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora... |
Spoken Language Processing: A Guide to Theory, Algorithm and System Development
 | Offers coverage of new advances in spoken language processing in computer science, drawing on the most recent discoveries in computer science, electrical engineering, mathematics, and other fields... |
Statistical Language Learning (Language, Speech, and Communication)
 | Eugene Charniak breaks new ground in artificial intelligence research by presenting statistical language processing from an artificial intelligence point of view in a text for researchers and scientists with a traditional computer science background... |
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