Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
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Speech and language technologies continue to grow in importance as they are used to create natural and efficient interfaces between people and machines, and to automatically transcribe, extract, analyze, and route information from high-volume streams of spoken and written information.
The workshops on Mathematical Foundations of Speech Processing and Natural Language Modeling were held in the Fall of 2000 at the University of Minnesota's NSF-sponsored Institute for Mathematics and Its Applications, as part of a "Mathematics in Multimedia" year-long program. Each workshop brought together researchers in the respective technologies on the one hand, and mathematicians and statisticians on the other hand, for an intensive week of cross-fertilization.
There is a long history of benefit from introducing mathematical techniques and ideas to speech and language technologies. Examples include the source-channel paradigm, hidden Markov models, decision trees, exponential models and formal languages theory. It is likely that new mathematical techniques, or novel applications of existing techniques, will once again prove pivotal for moving the field forward.
This volume consists of original contributions presented by participants during the two workshops. Topics include language modeling, prosody, acoustic-phonetic modeling, and statistical methodology.
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Speech and Language Processing: Daniel Jurafsky, James H. Martin
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Assuming knowledge of only the very basics of linguistics, this major new textbook provides a concise and accessible introduction to speech and language processing. Students are introduced to topics such as digital signal processing, speech analysis and synthesis, finite-state machines, automatic speech recognition, parsing and probabilistic grammars, and are shown from a very elementary level how to work with two programming languages, C and Prolog.
The advent of powerful computing devices and ubiquitous multimedia information distribution has triggered a wave of new approaches in pattern recognition. This book fills the need for a systematic and up-to-date presentation of the fundamentals and recent developments in the field of speech and language processing. It begins with the basics and recent theoretical advances, emphasizing classifier design criteria and optimization procedures. Discussions then move to topics in speech recognition and finally to language processing. Numerous examples of practical applications and real system descri
Speech and Language Processing Textbook
