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.

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition

Computers & Technology

Jurafsky, Dan

Martin, James H.

Kehler, Andrew

Linden, Keith Vander

Ward, Nigel

Software

Prentice-Hall

Speech and Language Processing (2-Download)

Russell, Stuart

Norvig, Peter

Jurafsky, Daniel

Pearson

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Books by Martin, James H.