Philip Resnik
University of Maryland
Book Recommendations:
Recommended by Philip Resnik
“This book is an absolute necessity for instructors at all levels, as well as an indispensable reference for researchers. Introducing NLP, computational linguistics, and speech recognition comprehensively in a single book is an ambitious enterprise. The authors have managed it admirably, paying careful attention to traditional foundations, relating recent developments and trends to those foundations, and tying it all together with insight and humor. Remarkable.” (from Amazon)
by Dan Jurafsky, James H. Martin, Andrew Kehler, Keith Vander Linden, Nigel Ward·You?
by Dan Jurafsky, James H. Martin, Andrew Kehler, Keith Vander Linden, Nigel Ward·You?
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