Principles Of Natural Language Processing
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Principles Of Natural Language Processing
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Author : Susan McRoy
language : en
Publisher:
Release Date : 2021-07-24
Principles Of Natural Language Processing written by Susan McRoy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-24 with categories.
This book allows a reader with a background in computing to quickly learn about the principles of human language and computational methods for processing it. The book discusses what natural language processing (NLP) is, where it is useful, and how it can be deployed using modern software tools. It covers the core topics of modern NLP, including an overview of the syntax and semantics of English, benchmark tasks for computational language modelling, and higher level tasks and applications that analyze or generate language. It takes the perspective of a computer scientist. The primary themes are abstraction, data, algorithms, applications and impacts. It also includes history and trends that are important for understanding why things have been done the way that they have.
Natural Language Processing And Information Retrieval
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Author : Muskan Garg
language : en
Publisher: CRC Press
Release Date : 2023-11-28
Natural Language Processing And Information Retrieval written by Muskan Garg and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-28 with Computers categories.
This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining. Features: • Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation • Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data • Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining • Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing • Covers latest datasets for natural language processing and information retrieval for social media like Twitter The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.
Principle Of Morphological Analysis For Kokborok With Nlp
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Author : Swapan Debbarma
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2012
Principle Of Morphological Analysis For Kokborok With Nlp written by Swapan Debbarma and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Coverage of this contains as meaning of NLP, Morphology, Stammer, Language importance with the integration of Computer. The main description is the Natural language processing (NLP) which is a subfield of artificial intelligence and linguistics. It studies the problems of automated generation and understanding of natural human languages. Natural language generation systems convert information from computer databases into normal-sounding human language, and natural language understanding systems convert samples of human language into more formal representations that are easier for computer programs to manipulate. Machine translation is a very important application of Natural Language Processing (NLP). Machine translation is throwing up many challenges and opening up many opportunities for doing work. Some of the problems relate to grammars; others pertain to word analysis, bilingual dictionaries, language, generation,
Mastering Natural Language Processing
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Author : Cybellium Ltd
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Natural Language Processing written by Cybellium Ltd and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unveil the Secrets of Language Understanding and Generation In the realm of artificial intelligence and communication, Natural Language Processing (NLP) stands as a transformative force that bridges the gap between humans and machines. "Mastering Natural Language Processing" is your definitive guide to comprehending and harnessing the potential of this dynamic field, empowering you to create intelligent language-based applications with precision. About the Book: As technology evolves, the ability to understand and generate human language becomes increasingly essential. "Mastering Natural Language Processing" offers a comprehensive exploration of NLP—a crucial discipline in the world of AI and communication. This book caters to both beginners and experienced learners aiming to excel in NLP concepts, techniques, and applications. Key Features: NLP Fundamentals: Begin by understanding the core principles of Natural Language Processing. Learn about linguistic concepts, tokenization, and language models. Text Classification and Sentiment Analysis: Dive into text analysis techniques. Explore methods for classifying text and determining sentiment, enabling you to understand user opinions and emotions. Named Entity Recognition: Grasp the art of identifying entities in text. Understand how to extract names, places, dates, and other crucial information from unstructured data. Language Generation: Explore techniques for generating human-like language. Learn how to create chatbots, language models, and automated content. Machine Translation: Understand the significance of machine translation. Learn how to build systems that translate text between languages with accuracy. Speech Recognition: Delve into the realm of speech recognition. Explore techniques for converting spoken language into text, enabling voice interfaces and transcription. Question Answering Systems: Grasp the power of question-answering systems. Learn how to build applications that provide answers to user questions based on available data. Real-World Applications: Gain insights into how NLP is applied across industries. From customer service to healthcare, discover the diverse applications of natural language processing. Why This Book Matters: In an age of communication and interaction, mastering NLP offers a competitive advantage. "Mastering Natural Language Processing" empowers data scientists, developers, and technology enthusiasts to leverage NLP concepts, enabling them to create intelligent language-based applications that enhance user experiences and drive innovation. Revolutionize Communication with AI: In the landscape of artificial intelligence, Natural Language Processing is transforming how humans and machines interact. "Mastering Natural Language Processing" equips you with the knowledge needed to leverage NLP concepts, enabling you to create intelligent language-based applications that bridge communication gaps and redefine possibilities. Whether you're a seasoned practitioner or new to the world of NLP, this book will guide you in building a solid foundation for effective language-based solutions. Your journey to mastering Natural Language Processing starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Language Processing With Perl And Prolog
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Author : Pierre M. Nugues
language : en
Publisher: Springer
Release Date : 2014-08-06
Language Processing With Perl And Prolog written by Pierre M. Nugues and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-06 with Computers categories.
The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications. This book teaches the principles of natural language processing, first covering practical linguistics issues such as encoding and annotation schemes, defining words, tokens and parts of speech and morphology, as well as key concepts in machine learning, such as entropy, regression and classification, which are used throughout the book. It then details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques, using Prolog to write phase-structure grammars, syntactic formalisms and parsing techniques, semantics, predicate logic and lexical semantics and analysis of discourse and applications in dialogue systems. A key feature of the book is the author's hands-on approach throughout, with sample code in Prolog and Perl, extensive exercises, and a detailed introduction to Prolog. The reader is supported with a companion website that contains teaching slides, programs and additional material. The second edition is a complete revision of the techniques exposed in the book to reflect advances in the field the author redesigned or updated all the chapters, added two new ones and considerably expanded the sections on machine-learning techniques.
A Practical Guide To Hybrid Natural Language Processing
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Author : Jose Manuel Gomez-Perez
language : en
Publisher: Springer Nature
Release Date : 2020-06-16
A Practical Guide To Hybrid Natural Language Processing written by Jose Manuel Gomez-Perez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-16 with Computers categories.
This book provides readers with a practical guide to the principles of hybrid approaches to natural language processing (NLP) involving a combination of neural methods and knowledge graphs. To this end, it first introduces the main building blocks and then describes how they can be integrated to support the effective implementation of real-world NLP applications. To illustrate the ideas described, the book also includes a comprehensive set of experiments and exercises involving different algorithms over a selection of domains and corpora in various NLP tasks. Throughout, the authors show how to leverage complementary representations stemming from the analysis of unstructured text corpora as well as the entities and relations described explicitly in a knowledge graph, how to integrate such representations, and how to use the resulting features to effectively solve NLP tasks in a range of domains. In addition, the book offers access to executable code with examples, exercises and real-world applications in key domains, like disinformation analysis and machine reading comprehension of scientific literature. All the examples and exercises proposed in the book are available as executable Jupyter notebooks in a GitHub repository. They are all ready to be run on Google Colaboratory or, if preferred, in a local environment. A valuable resource for anyone interested in the interplay between neural and knowledge-based approaches to NLP, this book is a useful guide for readers with a background in structured knowledge representations as well as those whose main approach to AI is fundamentally based on logic. Further, it will appeal to those whose main background is in the areas of machine and deep learning who are looking for ways to leverage structured knowledge bases to optimize results along the NLP downstream.
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
Thai Natural Language Processing
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Author : Chalermpol Tapsai
language : en
Publisher: Springer Nature
Release Date : 2020-09-14
Thai Natural Language Processing written by Chalermpol Tapsai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-14 with Technology & Engineering categories.
This book presents comprehensive solutions for readers wanting to develop their own Natural Language Processing projects for the Thai language. Starting from the fundamental principles of Thai, it discusses each step in Natural Language Processing, and the real-world applications. In addition to theory, it also includes practical workshops for readers new to the field who want to start programming in Natural Language Processing. Moreover, it features a number of new techniques to provide readers with ideas for developing their own projects. The book details Thai words using phonetic annotation and also includes English definitions to help readers understand the content.
An Introduction To Language Processing With Perl And Prolog
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Author : Pierre M. Nugues
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-11-22
An Introduction To Language Processing With Perl And Prolog written by Pierre M. Nugues and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-22 with Computers categories.
This book teaches the principles of natural language processing and covers linguistics issues. It also details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques. A key feature of the book is the author's hands-on approach throughout, with extensive exercises, sample code in Prolog and Perl, and a detailed introduction to Prolog. The book is suitable for researchers and students of natural language processing and computational linguistics.
Exploring The Fascinating World Of Natural Language Processing Nlp
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Author : Daniel Huston
language : en
Publisher:
Release Date : 2023-02-25
Exploring The Fascinating World Of Natural Language Processing Nlp written by Daniel Huston and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-25 with categories.
"Exploring the Fascinating World of Natural Language Processing (NLP)" is a comprehensive guide that takes readers on a journey through the complex and ever-evolving field of NLP. This book offers a unique blend of theory and practical applications, providing readers with a deep understanding of the underlying principles of NLP, while also equipping them with the tools and techniques needed to build their own NLP applications. Through clear and concise explanations, engaging examples, and real-world case studies, this book delves into the fundamental concepts of NLP, including text processing, sentiment analysis, language modeling, and more. It explores cutting-edge techniques such as deep learning, neural networks, and machine learning algorithms, and offers practical advice for implementing these techniques in real-world scenarios. Written by leading experts in the field, "Exploring the Fascinating World of Natural Language Processing (NLP)" is an essential resource for students, researchers, and professionals seeking to deepen their knowledge and understanding of NLP. With its accessible language, engaging style, and comprehensive coverage, this book is sure to inspire readers to explore the exciting world of NLP and its endless possibilities.