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Speech and language processing

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Цена: 7839р.
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При оформлении заказа до: 26 июл 2019
Ориентировочная дата поставки: конец августа
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Автор: Jurafsky, Dan Martin, James H.
Название:  Speech and language processing   (Дэн Джурафски: Речь и моделирование языковых процессов)
Издательство: Pearson Education
Классификация:
Электрическое машиностроение
Искусственный интеллект

ISBN: 0135041961
ISBN-13(EAN): 9780135041963
ISBN: 0-13-504196-1
ISBN-13(EAN): 978-0-13-504196-3
Обложка/Формат: Paperback
Страницы: 1024
Вес: 1.542 кг.
Дата издания: 21.08.2008
Издание: International ed of
Иллюстрации: Illustrations
Размер: 232 x 180 x 45
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: An introduction to natural language processing, computational linguistics, and speech recognition
Рейтинг:
Поставляется из: США
Описание: International edition. Second edition.



      Новое издание
Speech and Language Processing:

Автор: Jurafsky, Daniel Martin, James H.
Название: Speech and Language Processing:
ISBN: 1292025433 ISBN-13(EAN): 9781292025438
Издательство: Pearson Education
Цена: 4208 р.
Наличие на складе: Невозможна поставка.

      Старое издание
Speech and Language Processing: An Introduction to Natural Language

Автор: Daniel Jurafsky
Название: Speech and Language Processing: An Introduction to Natural Language
ISBN: 013122798X ISBN-13(EAN): 9780131227989
Издательство: Pearson Education
Цена: 3156 р.
Наличие на складе: Поставка под заказ.
Описание: For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corporations.

Speech and Language Processing: United States Edition 2 Book Cased (Hardback)

Автор: Daniel Jurafsky
Название: Speech and Language Processing: United States Edition 2 Book Cased (Hardback)
ISBN: 0131873210 ISBN-13(EAN): 9780131873216
Издательство: Pearson Education
Цена: 3717 р.
Наличие на складе: Невозможна поставка.
Описание: For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. 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 pr cessing. The first of its kind to thoroughly cover language technology -- at all levels and with all modern technologies -- this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations.

The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web.

The Second Edition offers a significant amount of new and extended material.Supplements: Click on the "Resources" tab to View Downloadable Files: *Solutions (available 8/15/08)*Power Point Lecture Slides (available 8/15/08) For additional resourcse visit the author website: http://www. cs.colorado.edu/~martin/slp.html

Speech and Language Processing:

Автор: Jurafsky, Daniel Martin, James H.
Название: Speech and Language Processing:
ISBN: 1292025433 ISBN-13(EAN): 9781292025438
Издательство: Pearson Education
Цена: 4208 р.
Наличие на складе: Невозможна поставка.


Foundations of statistical natural language processing

Автор: Manning, Christopher D. Schutze, Hinrich
Название: Foundations of statistical natural language processing
ISBN: 0262133601 ISBN-13(EAN): 9780262133609
Издательство: Wiley
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Цена: 9609 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Picks up where Faludi`s previous book "Backlash" left off. It seeks to understand male behaviour in order to close the chasm between the sexes, and asks why men are so fearful and aggressive in the face of women`s independence An introduction to statistical natural language processing (NLP). The text contains the theory and algorithms needed for building NLP tools. Topics covered include: mathematical and linguistic foundations; statistical methods; collocation finding; word sense disambiguation; and probalistic parsing.

Graph-based Natural Language Processing and Information Retrieval

Автор: Mihalcea
Название: Graph-based Natural Language Processing and Information Retrieval
ISBN: 0521896134 ISBN-13(EAN): 9780521896139
Издательство: Cambridge Academ
Рейтинг:
Цена: 4787 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.

An Introduction to Language Processing with Perl and Prolog

Автор: Nugues
Название: An Introduction to Language Processing with Perl and Prolog
ISBN: 354025031X ISBN-13(EAN): 9783540250319
Издательство: Springer
Рейтинг:
Цена: 7943 р.
Наличие на складе: Поставка под заказ.

Описание: The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications.This book teaches the principles of natural language processing, first covering linguistics issues such as encoding, entropy, and annotation schemes; defining words, tokens and parts of speech; and morphology. It then details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques; using Prolog to write phase-structure grammars; parsing techniques and syntactic formalisms; semantics, predicate logic and lexical semantics; and analysis of discourse, and applications in dialog systems. The key feature of the book is the author's hands-on approach throughout, with extensive exercises, sample code in Prolog and Perl, and a detailed introduction to Prolog. The reader is supported with a companion website that contains teaching slides, programs, and additional material. The book is suitable for researchers and students of natural language processing and computational linguistics.

Natural Language Processing and Information Systems / 9th International Conference on Applications of Natural Languages to Information Systems, NLDB 2004, Salford, UK, June 23-25, 2004, Proceedings

Автор: Meziane Farid, MГ©tais Elizabeth
Название: Natural Language Processing and Information Systems / 9th International Conference on Applications of Natural Languages to Information Systems, NLDB 2004, Salford, UK, June 23-25, 2004, Proceedings
ISBN: 3540225641 ISBN-13(EAN): 9783540225645
Издательство: Springer
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Цена: 8134 р.
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Описание: This book constitutes the refereed proceedings of the 9th International Conference on Applications of Natural Language to Information Systems, NLDB 2004, held in Salford, UK in June 2004.The 29 revised full papers and 13 revised short papers presented were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on natural language, conversational systems, intelligent querying, linguistic aspects of modeling, information retrieval, natural language text understanding, knowledge bases, knowledge management and content management.

Natural Language Processing and Text Mining

Автор: Kao Anne, Poteet Steve R.
Название: Natural Language Processing and Text Mining
ISBN: 184628175X ISBN-13(EAN): 9781846281754
Издательство: Springer
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Цена: 12154 р.
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Описание: Discusses applications of certain NLP techniques to certain Text Mining tasks, and the use of Text Mining to facilitate NLP. This book explores real-world applications of NLP and text-mining algorithms, emphasising on the description of end-to-end solutions, and detailing the associated difficulties related to the application of the algorithm.

Natural Language Processing – IJCNLP 2005 / Second International Joint Conference, Jeju Island, Korea, October 11-13, 2005, Proceedings

Автор: Dale Robert, Wong Kam-Fai, Su Jian, Kwong Oi Yee
Название: Natural Language Processing – IJCNLP 2005 / Second International Joint Conference, Jeju Island, Korea, October 11-13, 2005, Proceedings
ISBN: 3540291725 ISBN-13(EAN): 9783540291725
Издательство: Springer
Рейтинг:
Цена: 14959 р.
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Описание: This book constitutes the thoroughly refereed proceedings of the Second International Joint Conference on Natural Language Processing, IJCNLP 2005, held in Jeju Island, Korea in October 2005.The 88 revised full papers presented in this volume were carefully reviewed and selected from 289 submissions. The papers are organized in topical sections on information retrieval, corpus-based parsing, Web mining, rule-based parsing, disambiguation, text mining, document analysis, ontology and thesaurus, relation extraction, text classification, transliteration, machine translation, question answering, morphological analysis, text summarization, named entity recognition, linguistic resources and tools, discourse analysis, semantic analysis NLP applications, tagging, language models, spoken language, and terminology mining.

Handbook of Natural Language Processing, Second Edition

Автор: Indurkhya
Название: Handbook of Natural Language Processing, Second Edition
ISBN: 1420085921 ISBN-13(EAN): 9781420085921
Издательство: Taylor&Francis
Рейтинг:
Цена: 14359 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This comprehensive handbook presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition offers greater prominence to statistical approaches and a broader multilingual scope to include Asian and European languages. It also contains a new applications section that covers many well-known and emerging applications, including machine translation, biomedical text mining, and sentiment analysis. In addition, an actively maintained companion wiki provides online resources, supplementary information, and current developments.

Phase-based speech processing

Автор: Aarabi Parham Et Al
Название: Phase-based speech processing
ISBN: 9812566139 ISBN-13(EAN): 9789812566133
Издательство: World Scientific Publishing
Рейтинг:
Цена: 4371 р.
Наличие на складе: Поставка под заказ.

Описание: This is the first book that takes a detailed look at the importance of phase in the design of speech processing systems. Phase, in comparison with amplitude, is often ignored for speech recognition applications. Thus, this book highlights some of the important ways in which the phase of speech signals can be utilized for sound localization, enhancement, and recognition.This book also discusses the state-of-the-art research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech recognition, the recognition of speech and the processing of speech by humans, as well as the importance of phase in human speech recognition and multi-microphone phase-based speech processing.

Phase-based speech processing

Автор: Aarabi Parham Et Al
Название: Phase-based speech processing
ISBN: 9812566120 ISBN-13(EAN): 9789812566126
Издательство: World Scientific Publishing
Рейтинг:
Цена: 7771 р.
Наличие на складе: Поставка под заказ.

Описание: This is the first book that takes a detailed look at the importance of phase in the design of speech processing systems. Phase, in comparison with amplitude, is often ignored for speech recognition applications. Thus, this book highlights some of the important ways in which the phase of speech signals can be utilized for sound localization, enhancement, and recognition.This book also discusses the state-of-the-art research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech recognition, the recognition of speech and the processing of speech by humans, as well as the importance of phase in human speech recognition and multi-microphone phase-based speech processing.

Springer Handbook of Speech Processing

Автор: Benesty J., Sondhi M., Huang Y.
Название: Springer Handbook of Speech Processing
ISBN: 3540491279 ISBN-13(EAN): 9783540491279
Издательство: Springer
Цена: 23282 р.
Наличие на складе: Поставка под заказ.

Описание: From common consumer products such as cell phones and MP3 players to more sophisticated projects such as human-machine interfaces and responsive robots, speech technologies are now everywhere. Many think that it is just a matter of time before more applications of the science of speech become inescapable in our daily life. This handbook is meant to play a fundamental role for sustainable progress in speech research and development. Springer Handbook of Speech Processing targets three categories of readers: graduate students, professors and active researchers in academia and research labs, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. The handbook could also be used as a sourcebook for one or more graduate courses on signal processing for speech and different aspects of speech processing and applications. A quickly accessible source of application-oriented, authoritative and comprehensive information about these technologies, it combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics.

Multilingual Speech Processing,

Автор: Tanja Schultz
Название: Multilingual Speech Processing,
ISBN: 0120885018 ISBN-13(EAN): 9780120885015
Издательство: Elsevier Science
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Цена: 7008 р.
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Описание: Presents an overview of speech processing from a multilingual perspective. This work includes theories, algorithms, and techniques that are required to support spoken input and output in a variety of languages. It also contains technological advances integral to security, financial, cellular and commercial applications.

Bayesian Speech and Language Processing

Автор: Watanabe
Название: Bayesian Speech and Language Processing
ISBN: 1107055571 ISBN-13(EAN): 9781107055575
Издательство: Cambridge Academ
Рейтинг:
Цена: 7806 р.
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Описание: With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems in speech and language processing. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models, n-gram models and latent topic models, along with applications including automatic speech recognition, speaker verification, and information retrieval. Approximate Bayesian inferences based on MAP, Evidence, Asymptotic, VB, and MCMC approximations are provided as well as full derivations of calculations, useful notations, formulas, and rules. The authors address the difficulties of straightforward applications and provide detailed examples and case studies to demonstrate how you can successfully use practical Bayesian inference methods to improve the performance of information systems. This is an invaluable resource for students, researchers, and industry practitioners working in machine learning, signal processing, and speech and language processing.


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