Author: Daniel Jurafsky
Edition: 2
Binding: Hardcover
ISBN: 0131873210
Publisher: Pearson Prentice Hall
Features:
Edition: 2
Binding: Hardcover
ISBN: 0131873210
Publisher: Pearson Prentice Hall
Features:
Speech and Language Processing (2nd Edition)
An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. Search and download computer ebooks Speech and Language Processing (2nd Edition) for free.
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.. Download Speech and Language Processing computer ebooks
The first of its kind to thoroughly cover language technology - at all levels and with all modern technologies - this book takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. Builds each chapter around one or more worked examples demonstrating the main idea of the chapter, usingthe examples to illustrate the relative strengths and weaknesses of various approaches. Adds coverage of statistical sequence labeling, information extraction, question answering and summariz
Speech and Language Processing
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 Free
The first of its kind to thoroughly cover language technology - at all levels and with all modern technologies - this book takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations
Adds coverage of statistical sequence labeling, information extraction, question answering and summariz
