Corpus Based Methods In Language And Speech Processing

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Corpus-Based Methods in Language and Speech Processing

Author : Steve Young,Gerrit Bloothooft
Publisher : Springer Science & Business Media
Page : 247 pages
File Size : 52,5 Mb
Release : 2013-03-14
Category : Language Arts & Disciplines
ISBN : 9789401711838

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Corpus-Based Methods in Language and Speech Processing by Steve Young,Gerrit Bloothooft Pdf

Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an in-depth introduction to these technologies through chapters describing basic statistical modeling techniques for language and speech, the use of Hidden Markov Models in continuous speech recognition, the development of dialogue systems, part-of-speech tagging and partial parsing, data-oriented parsing and n-gram language modeling. The book attempts to give both a clear overview of the main technologies used in language and speech processing, along with sufficient mathematics to understand the underlying principles. There is also an extensive bibliography to enable topics of interest to be pursued further. Overall, we believe that the book will give newcomers a solid introduction to the field and it will give existing practitioners a concise review of the principal technologies used in state-of-the-art language and speech processing systems. Corpus-Based Methods in Language and Speech Processing is an initiative of ELSNET, the European Network in Language and Speech. In its activities, ELSNET attaches great importance to the integration of language and speech, both in research and in education. The need for and the potential of this integration are well demonstrated by this publication.

Natural Language Processing Using Very Large Corpora

Author : S. Armstrong,Kenneth W. Church,Pierre Isabelle,Sandra Manzi,Evelyne Tzoukermann,David Yarowsky
Publisher : Springer Science & Business Media
Page : 314 pages
File Size : 49,6 Mb
Release : 2013-04-17
Category : Language Arts & Disciplines
ISBN : 9789401723909

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Natural Language Processing Using Very Large Corpora by S. Armstrong,Kenneth W. Church,Pierre Isabelle,Sandra Manzi,Evelyne Tzoukermann,David Yarowsky Pdf

ABOUT THIS BOOK This book is intended for researchers who want to keep abreast of cur rent developments in corpus-based natural language processing. It is not meant as an introduction to this field; for readers who need one, several entry-level texts are available, including those of (Church and Mercer, 1993; Charniak, 1993; Jelinek, 1997). This book captures the essence of a series of highly successful work shops held in the last few years. The response in 1993 to the initial Workshop on Very Large Corpora (Columbus, Ohio) was so enthusias tic that we were encouraged to make it an annual event. The following year, we staged the Second Workshop on Very Large Corpora in Ky oto. As a way of managing these annual workshops, we then decided to register a special interest group called SIGDAT with the Association for Computational Linguistics. The demand for international forums on corpus-based NLP has been expanding so rapidly that in 1995 SIGDAT was led to organize not only the Third Workshop on Very Large Corpora (Cambridge, Mass. ) but also a complementary workshop entitled From Texts to Tags (Dublin). Obviously, the success of these workshops was in some measure a re flection of the growing popularity of corpus-based methods in the NLP community. But first and foremost, it was due to the fact that the work shops attracted so many high-quality papers.

Speech and Language Processing

Author : Dan Jurafsky,James H. Martin
Publisher : Prentice Hall
Page : 1027 pages
File Size : 52,6 Mb
Release : 2009
Category : Automatic speech recognition
ISBN : 9780131873216

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Speech and Language Processing by Dan Jurafsky,James H. Martin Pdf

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.

Introducing Speech and Language Processing

Author : John S. Coleman
Publisher : Cambridge University Press
Page : 324 pages
File Size : 55,8 Mb
Release : 2005-03-03
Category : Computers
ISBN : 0521530695

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Introducing Speech and Language Processing by John S. Coleman Pdf

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.

Lexicon Development for Speech and Language Processing

Author : Frank Van Eynde
Publisher : Springer
Page : 302 pages
File Size : 41,7 Mb
Release : 2014-11-14
Category : Language Arts & Disciplines
ISBN : 9789401094580

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Lexicon Development for Speech and Language Processing by Frank Van Eynde Pdf

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.

Speech & Language Processing

Author : Dan Jurafsky
Publisher : Pearson Education India
Page : 912 pages
File Size : 55,9 Mb
Release : 2000-09
Category : Electronic
ISBN : 8131716724

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Speech & Language Processing by Dan Jurafsky Pdf

Spoken Language Processing

Author : Xuedong Huang,Alejandro Acero,Hsiao-Wuen Hon
Publisher : Prentice Hall
Page : 1018 pages
File Size : 44,7 Mb
Release : 2001
Category : Computers
ISBN : UOM:39015051284142

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Spoken Language Processing by Xuedong Huang,Alejandro Acero,Hsiao-Wuen Hon Pdf

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.

Natural Language Processing for Corpus Linguistics

Author : Jonathan Dunn
Publisher : Cambridge University Press
Page : 149 pages
File Size : 43,7 Mb
Release : 2022-03-31
Category : Language Arts & Disciplines
ISBN : 9781009083744

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Natural Language Processing for Corpus Linguistics by Jonathan Dunn Pdf

Corpus analysis can be expanded and scaled up by incorporating computational methods from natural language processing. This Element shows how text classification and text similarity models can extend our ability to undertake corpus linguistics across very large corpora. These computational methods are becoming increasingly important as corpora grow too large for more traditional types of linguistic analysis. We draw on five case studies to show how and why to use computational methods, ranging from usage-based grammar to authorship analysis to using social media for corpus-based sociolinguistics. Each section is accompanied by an interactive code notebook that shows how to implement the analysis in Python. A stand-alone Python package is also available to help readers use these methods with their own data. Because large-scale analysis introduces new ethical problems, this Element pairs each new methodology with a discussion of potential ethical implications.

Research Methods in Psycholinguistics and the Neurobiology of Language

Author : Annette M. B. de Groot,Peter Hagoort
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 47,5 Mb
Release : 2017-10-23
Category : Language Arts & Disciplines
ISBN : 9781119109846

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Research Methods in Psycholinguistics and the Neurobiology of Language by Annette M. B. de Groot,Peter Hagoort Pdf

The first comprehensive guide to research methods and technologies in psycholinguistics and the neurobiology of language Bringing together contributions from a distinguished group of researchers and practitioners, editors Annette M. B. de Groot and Peter Hagoort explore the methods and technologies used by researchers of language acquisition, language processing, and communication, including: traditional observational and behavioral methods; computational modelling; corpus linguistics; and virtual reality. The book also examines neurobiological methods, including functional and structural neuroimaging and molecular genetics. Ideal for students engaged in the field, Research Methods in Psycholinguistics and the Neurobiology of Language examines the relative strengths and weaknesses of various methods in relation to competing approaches. It describes the apparatus involved, the nature of the stimuli and data used, and the data collection and analysis techniques for each method. Featuring numerous example studies, along with many full-color illustrations, this indispensable text will help readers gain a clear picture of the practices and tools described. Brings together contributions from distinguished researchers across an array of related disciplines who explain the underlying assumptions and rationales of their research methods Describes the apparatus involved, the nature of the stimuli and data used, and the data collection and analysis techniques for each method Explores the relative strengths and weaknesses of various methods in relation to competing approaches Features numerous real-world examples, along with many full-color illustrations, to help readers gain a clear picture of the practices and tools described

Pattern Recognition in Speech and Language Processing

Author : Wu Chou,Biing-Hwang Juang
Publisher : CRC Press
Page : 413 pages
File Size : 47,5 Mb
Release : 2003-02-26
Category : Technology & Engineering
ISBN : 9780203010525

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Pattern Recognition in Speech and Language Processing by Wu Chou,Biing-Hwang Juang Pdf

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

Digital Speech Processing

Author : Sadaoki Furui
Publisher : CRC Press
Page : 338 pages
File Size : 41,5 Mb
Release : 2018-05-04
Category : Technology & Engineering
ISBN : 9781351990929

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Digital Speech Processing by Sadaoki Furui Pdf

A study of digital speech processing, synthesis and recognition. This second edition contains new sections on the international standardization of robust and flexible speech coding techniques, waveform unit concatenation-based speech synthesis, large vocabulary continuous-speech recognition based on statistical pattern recognition, and more.

Cluster Analysis for Corpus Linguistics

Author : Hermann Moisl
Publisher : Walter de Gruyter GmbH & Co KG
Page : 396 pages
File Size : 44,8 Mb
Release : 2015-02-24
Category : Language Arts & Disciplines
ISBN : 9783110393170

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Cluster Analysis for Corpus Linguistics by Hermann Moisl Pdf

The standard scientific methodology in linguistics is empirical testing of falsifiable hypotheses. As such the process of hypothesis generation is central, and involves formulation of a research question about a domain of interest and statement of a hypothesis relative to it. In corpus linguistics the domain is text, and generation involves abstraction of data from text, data analysis, and formulation of a hypothesis based on inference from the results. Traditionally this process has been paper-based, but the advent of electronic text has increasingly rendered it obsolete both because the size of digital corpora is now at or beyond the limit of what can efficiently be used in the traditional way, and because the complexity of data abstracted from them can be impenetrable to understanding. Linguists are increasingly turning to mathematical and statistical computational methods for help, and cluster analysis is such a method. It is used across the sciences for hypothesis generation by identification of structure in data which are too large or complex, or both, to be interpretable by direct inspection. This book aims to show how cluster analysis can be used for hypothesis generation in corpus linguistics, thereby contributing to a quantitative empirical methodology for the discipline.

Text, Speech and Dialogue

Author : Vaclav Matousek,Pavel Mautner
Publisher : Springer
Page : 426 pages
File Size : 48,5 Mb
Release : 2003-12-01
Category : Computers
ISBN : 9783540393986

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Text, Speech and Dialogue by Vaclav Matousek,Pavel Mautner Pdf

This book constitutes the refereed proceedings of the 6th International Conference on Text, Speech and Dialogue, TSD 2003, held in Ceské Budejovice, Czech Republic in September 2003.The 60 revised full papers presented together with 2 invited contributions were carefully reviewed and selected from 121 submissions. The papers present a wealth of state-of-the-art research and development results in the field of natural language processing with an emphasis on text, speech, and spoken language ranging from theoretical and methodological issues to applications in various fields, such as web information retrieval, the semantic web, algorithmic learning, and dialogue systems.

Mobile Speech and Advanced Natural Language Solutions

Author : Amy Neustein,Judith A. Markowitz
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 44,6 Mb
Release : 2013-02-03
Category : Technology & Engineering
ISBN : 9781461460183

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Mobile Speech and Advanced Natural Language Solutions by Amy Neustein,Judith A. Markowitz Pdf

"Mobile Speech and Advanced Natural Language Solutions" presents the discussion of the most recent advances in intelligent human-computer interaction, including fascinating new study findings on talk-in-interaction, which is the province of conversation analysis, a subfield in sociology/sociolinguistics, a new and emerging area in natural language understanding. Editors Amy Neustein and Judith A. Markowitz have recruited a talented group of contributors to introduce the next generation natural language technologies for practical speech processing applications that serve the consumer’s need for well-functioning natural language-driven personal assistants and other mobile devices, while also addressing business’ need for better functioning IVR-driven call centers that yield a more satisfying experience for the caller. This anthology is aimed at two distinct audiences: one consisting of speech engineers and system developers; the other comprised of linguists and cognitive scientists. The text builds on the experience and knowledge of each of these audiences by exposing them to the work of the other.

Speech Synthesis and Recognition

Author : Wendy Holmes
Publisher : CRC Press
Page : 317 pages
File Size : 40,9 Mb
Release : 2002-09-11
Category : Technology & Engineering
ISBN : 9780203484685

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Speech Synthesis and Recognition by Wendy Holmes Pdf

With the growing impact of information technology on daily life, speech is becoming increasingly important for providing a natural means of communication between humans and machines. This extensively reworked and updated new edition of Speech Synthesis and Recognition is an easy-to-read introduction to current speech technology. Aimed at advanced undergraduates and graduates in electronic engineering, computer science and information technology, the book is also relevant to professional engineers who need to understand enough about speech technology to be able to apply it successfully and to work effectively with speech experts. No advanced mathematical ability is required and no specialist prior knowledge of phonetics or of the properties of speech signals is assumed.