Multilingual Natural Language Processing Applications
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Multilingual Natural Language Processing Applications
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Author : Daniel Bikel
language : en
Publisher: IBM Press
Release Date : 2012-05-11
Multilingual Natural Language Processing Applications written by Daniel Bikel and has been published by IBM Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-11 with Business & Economics categories.
Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today’s best algorithms for attacking them Processing the diverse morphologies present in the world’s languages Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality Recognizing inferences, subjectivity, and opinion polarity Managing key algorithmic and design tradeoffs in real-world applications Extracting information via mention detection, coreference resolution, and events Building large-scale systems for machine translation, information retrieval, and summarization Answering complex questions through distillation and other advanced techniques Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management Constructing common infrastructure for multiple multilingual text processing applications This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.
Natural Language Processing Of Semitic Languages
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Author : Imed Zitouni
language : en
Publisher: Springer Science & Business
Release Date : 2014-04-22
Natural Language Processing Of Semitic Languages written by Imed Zitouni and has been published by Springer Science & Business this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-22 with Computers categories.
Research in Natural Language Processing (NLP) has rapidly advanced in recent years, resulting in exciting algorithms for sophisticated processing of text and speech in various languages. Much of this work focuses on English; in this book we address another group of interesting and challenging languages for NLP research: the Semitic languages. The Semitic group of languages includes Arabic (206 million native speakers), Amharic (27 million), Hebrew (7 million), Tigrinya (6.7 million), Syriac (1 million) and Maltese (419 thousand). Semitic languages exhibit unique morphological processes, challenging syntactic constructions and various other phenomena that are less prevalent in other natural languages. These challenges call for unique solutions, many of which are described in this book. The 13 chapters presented in this book bring together leading scientists from several universities and research institutes worldwide. While this book devotes some attention to cutting-edge algorithms and techniques, its primary purpose is a thorough explication of best practices in the field. Furthermore, every chapter describes how the techniques discussed apply to Semitic languages. The book covers both statistical approaches to NLP, which are dominant across various applications nowadays and the more traditional, rule-based approaches, that were proven useful for several other application domains. We hope that this book will provide a "one-stop-shop'' for all the requisite background and practical advice when building NLP applications for Semitic languages.
Building And Using Comparable Corpora For Multilingual Natural Language Processing
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Author : Serge Sharoff
language : en
Publisher: Springer Nature
Release Date : 2023-08-23
Building And Using Comparable Corpora For Multilingual Natural Language Processing written by Serge Sharoff and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-23 with Computers categories.
This book provides a comprehensive overview of methods to build comparable corpora and of their applications, including machine translation, cross-lingual transfer, and various kinds of multilingual natural language processing. The authors begin with a brief history on the topic followed by a comparison to parallel resources and an explanation of why comparable corpora have become more widely used. In particular, they provide the basis for the multilingual capabilities of pre-trained models, such as BERT or GPT. The book then focuses on building comparable corpora, aligning their sentences to create a database of suitable translations, and using these sentence translations to produce dictionaries and term banks. Then, it is explained how comparable corpora can be used to build machine translation engines and to develop a wide variety of multilingual applications.
Second Conference On Applied Natural Language Processing Association For Computational Linguistics Proceedings Of The Conference 9 12 February 1988 Austin Marriott At The Capitol Austin Texas Usa
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Author :
language : en
Publisher:
Release Date : 1988
Second Conference On Applied Natural Language Processing Association For Computational Linguistics Proceedings Of The Conference 9 12 February 1988 Austin Marriott At The Capitol Austin Texas Usa written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computational linguistics categories.
Natural Language Processing And Information Systems
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Author :
language : en
Publisher:
Release Date : 2002
Natural Language Processing And Information Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Natural language processing (Computer science) categories.
Proceedings Of The Twelfth National Conference On Artificial Intelligence
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Author : American Association for Artificial Intelligence
language : en
Publisher:
Release Date : 1994
Proceedings Of The Twelfth National Conference On Artificial Intelligence written by American Association for Artificial Intelligence and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Artificial intelligence categories.
Multilingual Speech And Language Processing
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Author : Pascale Fung
language : en
Publisher: Wiley
Release Date : 2015-05-26
Multilingual Speech And Language Processing written by Pascale Fung and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-26 with Technology & Engineering categories.
An introduction to the major topics in developing multilingual processing systems for speech recognition, text understanding, machine translation and related NLP applications Addresses techniques for multilingual speech and language processing, focusing primarily on methods that can simultaneously be applied to more than one language • Written by authors with respected international reputations, providing an important contribution to the literature on natural language processing • Accompanied by a set of lecture presentation slides to illustrate the topics and a glossary of particular languages that pose special challenges to speech and language processing
Applied Natural Language Processing With Pytorch 2 0
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Author : Dr. Deepti Chopra
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-01-27
Applied Natural Language Processing With Pytorch 2 0 written by Dr. Deepti Chopra and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.
TAGLINE Unlock the Power of PyTorch 2.0 for Next-Level Natural Language Processing. KEY FEATURES ● Comprehensive coverage of NLP concepts, techniques, and best practices. ● Hands-on examples with code implementations using PyTorch 2.0. ● Focus on real-world applications and optimizing NLP models. ● Learn to develop advanced NLP solutions with dynamic GPU acceleration. DESCRIPTION Natural Language Processing (NLP) is revolutionizing industries, from chatbots to data insights. PyTorch 2.0 offers the tools to build powerful NLP models. Applied Natural Language Processing with PyTorch 2.0 provides a practical guide to mastering NLP with this advanced framework. This book starts with a strong foundation in NLP concepts and the essentials of PyTorch 2.0, ensuring that you are well-equipped to tackle advanced topics. It covers key techniques such as transformer models, pre-trained language models, sequence-to-sequence models, and more. Each chapter includes hands-on examples and code implementations for real-world application. With a focus on practical use cases, the book explores NLP tasks like sentiment analysis, text classification, named entity recognition, machine translation, and text generation. You'll learn how to preprocess text, design neural architectures, train models, and evaluate results. Whether you're a beginner or an experienced professional, this book will empower you to develop advanced NLP models and solutions. Get started today and unlock the potential of NLP with PyTorch 2.0! WHAT WILL YOU LEARN ● Master cutting-edge NLP techniques and integrate PyTorch 2.0 effectively. ● Implement NLP concepts with clear, hands-on examples using PyTorch 2.0. ● Tackle a wide range of NLP tasks, suitable for all experience levels. ● Explore tasks like sentiment analysis, text classification, and translation. ● Leverage advanced deep learning techniques for powerful NLP solutions. ● Preprocess text, design models, train, and evaluate their performance. WHO IS THIS BOOK FOR? This book is ideal for data scientists, machine learning engineers, and NLP practitioners, whether you're a beginner or an experienced professional. A basic understanding of Python and machine learning concepts is recommended, as the book focuses on practical applications, advanced techniques, and integrating PyTorch 2.0 for deep learning-powered NLP solutions. TABLE OF CONTENTS 1. Introduction to Natural Language Processing 2. Getting Started with PyTorch 3. Text Preprocessing 4. Building NLP Models with PyTorch 5. Advanced NLP Techniques with PyTorch 6. Model Training and Evaluation 7. Improving NLP Models with PyTorch 8. Deployment and Productionization 9. Case Studies and Practical Examples 10. Future Trends in Natural Language Processing and PyTorch Index
Text Speech And Dialogue
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Author :
language : en
Publisher:
Release Date : 2002
Text Speech And Dialogue written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Natural language processing (Computer science) categories.
Advances In Artificial Intelligence
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Author : Canadian Society for Computational Studies of Intelligence. Conference
language : en
Publisher:
Release Date : 2005
Advances In Artificial Intelligence written by Canadian Society for Computational Studies of Intelligence. Conference and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Artificial intelligence categories.