Corpus Based Methods In Language And Speech Processing PDF Download
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| Author | : Steve Young |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 247 |
| Release | : 2013-03-14 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 9401711836 |
Download Corpus-Based Methods in Language and Speech Processing Book in PDF, ePub and Kindle
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.
| Author | : S. Armstrong |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 314 |
| Release | : 2013-04-17 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 9401723907 |
Download Natural Language Processing Using Very Large Corpora Book in PDF, ePub and Kindle
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.
| Author | : Gokhan Tur |
| Publisher | : Wiley |
| Total Pages | : 0 |
| Release | : 2011-04-25 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 9780470688243 |
Download Spoken Language Understanding Book in PDF, ePub and Kindle
Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book covers the state-of-the-art approaches for the most popular SLU tasks with chapters written by well-known researchers in the respective fields. Key features include: Presents a fully integrated view of the two distinct disciplines of speech processing and language processing for SLU tasks. Defines what is possible today for SLU as an enabling technology for enterprise (e.g., customer care centers or company meetings), and consumer (e.g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key research areas. Provides a unique source of distilled information on methods for computer modeling of semantic information in human/machine and human/human conversations. This book can be successfully used for graduate courses in electronics engineering, computer science or computational linguistics. Moreover, technologists interested in processing spoken communications will find it a useful source of collated information of the topic drawn from the two distinct disciplines of speech processing and language processing under the new area of SLU.
| Author | : Souter |
| Publisher | : BRILL |
| Total Pages | : 288 |
| Release | : 2023-11-27 |
| Genre | : Computers |
| ISBN | : 9004653546 |
Download Corpus-Based Computational Linguistics Book in PDF, ePub and Kindle
| Author | : Robert Dale |
| Publisher | : CRC Press |
| Total Pages | : 1015 |
| Release | : 2000-07-25 |
| Genre | : Business & Economics |
| ISBN | : 0824746341 |
Download Handbook of Natural Language Processing Book in PDF, ePub and Kindle
This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.
| Author | : Dafydd Gibbon |
| Publisher | : Walter de Gruyter |
| Total Pages | : 1278 |
| Release | : 1996 |
| Genre | : Computers |
| ISBN | : 9783110154498 |
Download Natural Language Processing and Speech Technology Book in PDF, ePub and Kindle
| Author | : Dan Jurafsky |
| Publisher | : Prentice Hall |
| Total Pages | : 1027 |
| Release | : 2009 |
| Genre | : Automatic speech recognition |
| ISBN | : 0131873210 |
Download Speech and Language Processing Book in PDF, ePub and Kindle
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.
| Author | : Wu Chou |
| Publisher | : CRC Press |
| Total Pages | : 413 |
| Release | : 2003-02-26 |
| Genre | : Technology & Engineering |
| ISBN | : 0203010523 |
Download Pattern Recognition in Speech and Language Processing Book in PDF, ePub and Kindle
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
| Author | : Jonathan Dunn |
| Publisher | : Cambridge University Press |
| Total Pages | : 149 |
| Release | : 2022-03-31 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1009083740 |
Download Natural Language Processing for Corpus Linguistics Book in PDF, ePub and Kindle
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.
| Author | : Amy Neustein |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 373 |
| Release | : 2013-02-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1461460182 |
Download Mobile Speech and Advanced Natural Language Solutions Book in PDF, ePub and Kindle
"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.
