Speech And Language Processing

Speech and Language Processing PDF
Author: Dan Jurafsky
Publisher: Prentice Hall
ISBN: 0131873210
Size: 53.80 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 988
View: 7317

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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. 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 summarization, advanced topics in speech recognition, speech synthesis. Revises coverage of language modeling, formal grammars, statistical parsing, machine translation, and dialog processing. A useful reference for professionals in any of the areas of speech and language processing.

Lexicon Development For Speech And Language Processing

Lexicon Development for Speech and Language Processing PDF
Author: Frank Van Eynde
Publisher: Springer
ISBN: 9401094586
Size: 18.93 MB
Format: PDF
Category : Language Arts & Disciplines
Languages : en
Pages : 298
View: 6479

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This work offers a survey of methods and techniques for structuring, acquiring and maintaining lexical resources for speech and language processing. The first chapter provides a broad survey of the field of computational lexicography, introducing most of the issues, terms and topics which are addressed in more detail in the rest of the book. The next two chapters focus on the structure and the content of man-made lexicons, concentrating respectively on (morpho- )syntactic and (morpho- )phonological information. Both chapters adopt a declarative constraint-based methodology and pay ample attention to the various ways in which lexical generalizations can be formalized and exploited to enhance the consistency and to reduce the redundancy of lexicons. A complementary perspective is offered in the next two chapters, which present techniques for automatically deriving lexical resources from text corpora. These chapters adopt an inductive data-oriented methodology and focus also on methods for tokenization, lemmatization and shallow parsing. The next three chapters focus on speech synthesis and speech recognition.

Introducing Speech And Language Processing

Introducing Speech and Language Processing PDF
Author: John Coleman
Publisher: Cambridge University Press
ISBN: 9780521530699
Size: 19.10 MB
Format: PDF
Category : Computers
Languages : en
Pages : 301
View: 2373

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Provides a clearly-written, concise and accessible introduction to speech and language processing, with accompanying software.

Bayesian Speech And Language Processing

Bayesian Speech and Language Processing PDF
Author: Shinji Watanabe
Publisher: Cambridge University Press
ISBN: 1107055571
Size: 37.39 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 445
View: 519

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A practical and comprehensive guide on how to apply Bayesian machine learning techniques to solve speech and language processing problems.

Speech And Language Processing

Speech and Language Processing PDF
Author: Daniel Jurafsky
Publisher:
ISBN: 9781292025438
Size: 69.74 MB
Format: PDF, Docs
Category : Automatic speech recognition
Languages : en
Pages : 939
View: 2200

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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 processing. 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.

Speech And Language Processing For Human Machine Communications

Speech and Language Processing for Human Machine Communications PDF
Author: S. S. Agrawal
Publisher: Springer
ISBN: 9811066264
Size: 33.91 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 215
View: 7155

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This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Speech and Language Processing for Human-Machine Communications. The contents of this book will be useful to researchers and students alike.

Mathematical Foundations Of Speech And Language Processing

Mathematical Foundations of Speech and Language Processing PDF
Author: Mark Johnson
Publisher: Springer Science & Business Media
ISBN: 1441990178
Size: 40.69 MB
Format: PDF, Mobi
Category : Technology & Engineering
Languages : en
Pages : 289
View: 1274

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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.

Speech And Language Processing

Speech and Language Processing PDF
Author:
Publisher:
ISBN: 9781292037936
Size: 45.73 MB
Format: PDF, Docs
Category : Automatic speech recognition
Languages : en
Pages : 939
View: 918

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Speech And Language Processing

Speech and Language Processing PDF
Author: Dan Jurafsky
Publisher:
ISBN:
Size: 17.13 MB
Format: PDF, ePub, Mobi
Category : Automatic speech recognition
Languages : en
Pages : 934
View: 3743

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E Business

E Business PDF
Author: Tobias Kollmann
Publisher: Springer-Verlag
ISBN: 3658261439
Size: 80.83 MB
Format: PDF, Kindle
Category : Business & Economics
Languages : de
Pages : 1019
View: 289

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Tobias Kollmann beschreibt in seinem Lehrbuch „E-Business“ umfassend die theoretischen Grundlagen und praxisbezogenen Implikationen für das Einkaufs-, Verkaufs-, Handels-, Kontakt- und Kooperationsmanagement auf Basis elektronischer Netzwerke. Dabei werden die Grundbausteine Systemlösungen, Prozesse, Management, Marketing und Implementierung konsequent für die zugehörigen Online-Plattformen erklärt, wobei die Besonderheiten der elektronischen Handelsebene Berücksichtigung finden. Die Darstellungen basieren dabei sowohl auf betriebswirtschaftlichen als auch technischen Gesichtspunkten, womit die gesamte Bandbreite des E-Business abgedeckt wird. Neu in der 7. Auflage In der 7. Auflage wurden alle Kapitel überarbeitet und aktuelle Entwicklungen wie z.B. Digital Leadership, Blockchain, Künstliche Intelligenz, DSGVO, Cognitive Sourcing, Dropshipping, Dynamic Pricing, Influencer Marketing, Predictive Analytics, Kryptowährungen, Edge Computing, Smart Contracts u.v.m. einbezogen. Aktuelle Praxisbeispiele sowie neue Klausur- und Übungsaufgaben wurden aufgenommen.

Speech And Language Engineering

Speech and Language Engineering PDF
Author: Martin Rajman
Publisher: EPFL Press
ISBN: 2940222045
Size: 47.91 MB
Format: PDF, ePub, Mobi
Category : Computational linguistics
Languages : en
Pages : 586
View: 3077

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Efficient processing of speech and language is required at all levels in the design of human-computer interfaces. In this perspective, the book provides a global understanding of the required theoretical foundations, as well as practical examples of successful applications, in the area of human-language technology. The authors start from acoustic signal processing to pragmatics, covering all the important aspects of speech and language processing such as phonetics, morphology, syntax, and semantics.Throughout the volume, the reader can easily notice an emerging methodology, a key issue in the rational design of efficient and robust language-based computer applications. While engineering rigor is guaranteed in all chapters, particular care has been taken in highlighting intuitive aspects of technical details.Contributions from acknowledged experts in the relevant sub-disciplines make this book a truly unique offering in the available literature on speech and language engineering.

Einf Hrung In Machine Learning Mit Python

Einf  hrung in Machine Learning mit Python PDF
Author: Andreas C. Müller
Publisher: O'Reilly
ISBN: 3960101112
Size: 10.36 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : de
Pages : 378
View: 817

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Machine Learning ist zu einem wichtigen Bestandteil vieler kommerzieller Anwendungen und Forschungsprojekte geworden, von der medizinischen Diagnostik bis hin zur Suche nach Freunden in sozialen Netzwerken. Um Machine-Learning-Anwendungen zu entwickeln, braucht es keine großen Expertenteams: Wenn Sie Python-Grundkenntnisse mitbringen, zeigt Ihnen dieses Praxisbuch, wie Sie Ihre eigenen Machine-Learning-Lösungen erstellen. Mit Python und der scikit-learn-Bibliothek erarbeiten Sie sich alle Schritte, die für eine erfolgreiche Machine-Learning-Anwendung notwendig sind. Die Autoren Andreas Müller und Sarah Guido konzentrieren sich bei der Verwendung von Machine-Learning-Algorithmen auf die praktischen Aspekte statt auf die Mathematik dahinter. Wenn Sie zusätzlich mit den Bibliotheken NumPy und matplotlib vertraut sind, hilft Ihnen dies, noch mehr aus diesem Tutorial herauszuholen. Das Buch zeigt Ihnen: - grundlegende Konzepte und Anwendungen von Machine Learning - Vor- und Nachteile weit verbreiteter maschineller Lernalgorithmen - wie sich die von Machine Learning verarbeiteten Daten repräsentieren lassen und auf welche Aspekte der Daten Sie sich konzentrieren sollten - fortgeschrittene Methoden zur Auswertung von Modellen und zum Optimieren von Parametern - das Konzept von Pipelines, mit denen Modelle verkettet und Arbeitsabläufe gekapselt werden - Arbeitsmethoden für Textdaten, insbesondere textspezifische Verarbeitungstechniken - Möglichkeiten zur Verbesserung Ihrer Fähigkeiten in den Bereichen Machine Learning und Data Science Dieses Buch ist eine fantastische, super praktische Informationsquelle für jeden, der mit Machine Learning in Python starten möchte – ich wünschte nur, es hätte schon existiert, als ich mit scikit-learn anfing! Hanna Wallach, Senior Researcher, Microsoft Research

Bayesian Speech And Language Processing

Bayesian Speech and Language Processing PDF
Author: Shinji Watanabe
Publisher: Cambridge University Press
ISBN: 1316352102
Size: 64.34 MB
Format: PDF, ePub
Category : Technology & Engineering
Languages : en
Pages :
View: 4430

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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.