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Speech & Language Processing

Author : Dan Jurafsky
Publisher : Pearson Education India
Page : 912 pages
File Size : 32,59 MB
Release : 2000-09
Category :
ISBN : 9788131716724

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Speech and Language Processing

Author : Daniel Jurafsky
Publisher :
Page : 934 pages
File Size : 17,3 MB
Release : 2000-01
Category : Automatic speech recognition
ISBN : 9780131227989

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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

Author : Dan Jurafsky
Publisher :
Page : 934 pages
File Size : 49,61 MB
Release : 2004
Category : Automatic speech recognition
ISBN : 9788178085944

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Mathematical Foundations of Speech and Language Processing

Author : Mark Johnson
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 19,50 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 1441990178

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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.

Spoken Language Processing

Author : Xuedong Huang
Publisher : Prentice Hall
Page : 1018 pages
File Size : 23,28 MB
Release : 2001
Category : Computers
ISBN :

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Remarkable progress is being made in spoken language processing, but many powerful techniques have remained hidden in conference proceedings and academic papers, inaccessible to most practitioners. In this book, the leaders of the Speech Technology Group at Microsoft Research share these advances -- presenting not just the latest theory, but practical techniques for building commercially viable products.KEY TOPICS: Spoken Language Processing draws upon the latest advances and techniques from multiple fields: acoustics, phonology, phonetics, linguistics, semantics, pragmatics, computer science, electrical engineering, mathematics, syntax, psychology, and beyond. The book begins by presenting essential background on speech production and perception, probability and information theory, and pattern recognition. The authors demonstrate how to extract useful information from the speech signal; then present a variety of contemporary speech recognition techniques, including hidden Markov models, acoustic and language modeling, and techniques for improving resistance to environmental noise. Coverage includes decoders, search algorithms, large vocabulary speech recognition techniques, text-to-speech, spoken language dialog management, user interfaces, and interaction with non-speech interface modalities. The authors also present detailed case studies based on Microsoft's advanced prototypes, including the Whisper speech recognizer, Whistler text-to-speech system, and MiPad handheld computer.MARKET: For anyone involved with planning, designing, building, or purchasing spoken language technology.

Pattern Recognition in Speech and Language Processing

Author : Wu Chou
Publisher : CRC Press
Page : 413 pages
File Size : 24,90 MB
Release : 2003-02-26
Category : Technology & Engineering
ISBN : 0203010523

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Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field. Pattern Reco

Finite-state Language Processing

Author : Emmanuel Roche
Publisher : MIT Press
Page : 494 pages
File Size : 23,30 MB
Release : 1997
Category : Computers
ISBN : 9780262181822

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Finite-state devices, such as finite-state automata, graphs, and finite-state transducers, have been present since the emergence of computer science and are extensively used in areas as various as program compilation, hardware modeling, and database management. Although finite-state devices have been known for some time in computational linguistics, more powerful formalisms such as context-free grammars or unification grammars have typically been preferred. Recent mathematical and algorithmic results in the field of finite-state technology have had a great impact on the representation of electronic dictionaries and on natural language processing, resulting in a new technology for language emerging out of both industrial and academic research. This book presents a discussion of fundamental finite-state algorithms, and constitutes an approach from the perspective of natural language processing.

Introducing Speech and Language Processing

Author : John S. Coleman
Publisher : Cambridge University Press
Page : 324 pages
File Size : 39,80 MB
Release : 2005-03-03
Category : Computers
ISBN : 9780521530699

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This major new textbook provides a clearly-written, concise and accessible introduction to speech and language processing. Assuming knowledge of only the very basics of linguistics and written specifically for students with no technical background, it is the perfect starting point for anyone beginning to study the discipline. Student s are shown from an elementary level how to use two programming languages, C and Prolog, and the accompanying CD-ROM contains all the software needed. Setting an invaluable foundation for further study, this is set to become the leading introduction to the field.

Natural Language Processing and Computational Linguistics

Author : Mohamed Zakaria Kurdi
Publisher : John Wiley & Sons
Page : 301 pages
File Size : 19,72 MB
Release : 2016-08-17
Category : Technology & Engineering
ISBN : 1119145562

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Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives the reader a panoramic view of both early and current research in NLP. Carefully chosen multilingual examples present the state of the art of a mature field which is in a constant state of evolution. In four chapters, this book presents the fundamental concepts of phonetics and phonology and the two most important applications in the field of speech processing: recognition and synthesis. Also presented are the fundamental concepts of corpus linguistics and the basic concepts of morphology and its NLP applications such as stemming and part of speech tagging. The fundamental notions and the most important syntactic theories are presented, as well as the different approaches to syntactic parsing with reference to cognitive models, algorithms and computer applications.

Speech and Language Processing

Author : Dan Jurafsky
Publisher : Prentice Hall
Page : 1027 pages
File Size : 45,21 MB
Release : 2009
Category : Automatic speech recognition
ISBN : 0131873210

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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.