A Handbook Of Computational Linguistics Artificial Intelligence In Natural Language Processing
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The Handbook Of Computational Linguistics And Natural Language Processing
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Author : Alexander Clark
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-24
The Handbook Of Computational Linguistics And Natural Language Processing written by Alexander Clark and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-24 with Language Arts & Disciplines categories.
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
A Handbook Of Computational Linguistics Artificial Intelligence In Natural Language Processing
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Author : Youddha Beer Singh
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-08-12
A Handbook Of Computational Linguistics Artificial Intelligence In Natural Language Processing written by Youddha Beer Singh and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-12 with Computers categories.
This handbook provides a comprehensive understanding of computational linguistics, focusing on the integration of deep learning in natural language processing (NLP). 18 edited chapters cover the state-of-the-art theoretical and experimental research on NLP, offering insights into advanced models and recent applications. Highlights: - Foundations of NLP: Provides an in-depth study of natural language processing, including basics, challenges, and applications. - Advanced NLP Techniques: Explores recent advancements in text summarization, machine translation, and deep learning applications in NLP. - Practical Applications: Demonstrates use cases on text identification from hazy images, speech-to-sign language translation, and word sense disambiguation using deep learning. - Future Directions: Includes discussions on the future of NLP, including transfer learning, beyond syntax and semantics, and emerging challenges. Key Features: - Comprehensive coverage of NLP and deep learning integration. - Practical insights into real-world applications - Detailed exploration of recent research and advancements through 16 easy to read chapters - References and notes on experimental methods used for advanced readers Ideal for researchers, students, and professionals, this book offers a thorough understanding of computational linguistics by equipping readers with the knowledge to understand how computational techniques are applied to understand text, language and speech.
Handbook Of Natural Language Processing
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Author : Nitin Indurkhya
language : en
Publisher: CRC Press
Release Date : 2010-02-22
Handbook Of Natural Language Processing written by Nitin Indurkhya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-22 with Business & Economics categories.
The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater
The Oxford Handbook Of Computational Linguistics
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Author : Ruslan Mitkov
language : en
Publisher: Oxford University Press
Release Date : 2022
The Oxford Handbook Of Computational Linguistics written by Ruslan Mitkov and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Computers categories.
Provides a comprehensive account of current research in computational linguistics, Fully revised and updated throughout, including 37 new chapters, Features an extended glossary to explain key terms and concepts Book jacket.
Formal Analysis For Natural Language Processing A Handbook
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Author : Zhiwei Feng
language : en
Publisher: Springer Nature
Release Date : 2023-05-09
Formal Analysis For Natural Language Processing A Handbook written by Zhiwei Feng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-09 with Computers categories.
The field of natural language processing (NLP) is one of the most important and useful application areas of artificial intelligence. NLP is now rapidly evolving, as new methods and toolsets converge with an ever-expanding wealth of available data. This state-of-the-art handbook addresses all aspects of formal analysis for natural language processing. Following a review of the field’s history, it systematically introduces readers to the rule-based model, statistical model, neural network model, and pre-training model in natural language processing. At a time characterized by the steady and vigorous growth of natural language processing, this handbook provides a highly accessible introduction and much-needed reference guide to both the theory and method of NLP. It can be used for individual study, as the textbook for courses on natural language processing or computational linguistics, or as a supplement to courses on artificial intelligence, and offers a valuable asset for researchers, practitioners, lecturers, graduate and undergraduate students alike.
Natural Language Processing And Computational Linguistics
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Author : Bhargav Srinivasa-Desikan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-29
Natural Language Processing And Computational Linguistics written by Bhargav Srinivasa-Desikan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-29 with Computers categories.
Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms. Key Features Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms Learn deep learning techniques for text analysis Book Description Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data. This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy. You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning. This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis. What you will learn Why text analysis is important in our modern age Understand NLP terminology and get to know the Python tools and datasets Learn how to pre-process and clean textual data Convert textual data into vector space representations Using spaCy to process text Train your own NLP models for computational linguistics Use statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learn Employ deep learning techniques for text analysis using Keras Who this book is for This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you!
Natural Language Processing And Computational Linguistics 2
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Author : Mohamed Zakaria Kurdi
language : en
Publisher: John Wiley & Sons
Release Date : 2017-11-30
Natural Language Processing And Computational Linguistics 2 written by Mohamed Zakaria Kurdi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-30 with Technology & Engineering categories.
Natural Language Processing (NLP) is a scientific discipline which is found at the intersection of fields such as Artificial Intelligence, Linguistics, and Cognitive Psychology. This book presents in four chapters the state of the art and fundamental concepts of key NLP areas. Are presented in the first chapter the fundamental concepts in lexical semantics, lexical databases, knowledge representation paradigms, and ontologies. The second chapter is about combinatorial and formal semantics. Discourse and text representation as well as automatic discourse segmentation and interpretation, and anaphora resolution are the subject of the third chapter. Finally, in the fourth chapter, I will cover some aspects of large scale applications of NLP such as software architecture and their relations to cognitive models of NLP as well as the evaluation paradigms of NLP software. Furthermore, I will present in this chapter the main NLP applications such as Machine Translation (MT), Information Retrieval (IR), as well as Big Data and Information Extraction such as event extraction, sentiment analysis and opinion mining.
Deep Learning And Linguistic Representation
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Author : Shalom Lappin
language : en
Publisher: CRC Press
Release Date : 2021-04-27
Deep Learning And Linguistic Representation written by Shalom Lappin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-27 with Computers categories.
The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which this work illuminates our understanding of the way in which humans acquire and represent linguistic knowledge. Key Features: combines an introduction to deep learning in AI and NLP with current research on Deep Neural Networks in computational linguistics. is self-contained and suitable for teaching in computer science, AI, and cognitive science courses; it does not assume extensive technical training in these areas. provides a compact guide to work on state of the art systems that are producing a revolution across a range of difficult natural language tasks.
Routledge Encyclopedia Of Translation Technology
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Author : Chan Sin-wai
language : en
Publisher: Taylor & Francis
Release Date : 2023-04-26
Routledge Encyclopedia Of Translation Technology written by Chan Sin-wai and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-26 with Foreign Language Study categories.
Routledge Encyclopedia of Translation Technology, second edition, provides a state-of-the-art survey of the field of computer-assisted translation. It is the first definitive reference to provide a comprehensive overview of the general, regional, and topical aspects of this increasingly significant area of study. The Encyclopedia is divided into three parts: Part 1 presents general issues in translation technology, such as its history and development, translator training, and various aspects of machine translation, including a valuable case study of its teaching at a major university; Part 2 discusses national and regional developments in translation technology, offering contributions covering the crucial territories of China, Canada, France, Hong Kong, Japan, South Africa, Taiwan, the Netherlands and Belgium, the United Kingdom, and the United States; Part 3 evaluates specific matters in translation technology, with entries focused on subjects such as alignment, concordancing, localization, online translation, and translation memory. The new edition has five additional chapters, with many chapters updated and revised, drawing on the expertise of over 50 contributors from around the world and an international panel of consultant editors to provide a selection of chapters on the most pertinent topics in the discipline. All the chapters are self-contained, extensively cross-referenced, and include useful and up-to-date references and information for further reading. It will be an invaluable reference work for anyone with a professional or academic interest in the subject.
Big Data And Machine Learning In Sociology
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Author : Heinz Leitgöb
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-05
Big Data And Machine Learning In Sociology written by Heinz Leitgöb and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Science categories.