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Natural Language Processing With Ai Understanding Language And Context


Natural Language Processing With Ai Understanding Language And Context
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Natural Language Processing With Ai Understanding Language And Context


Natural Language Processing With Ai Understanding Language And Context
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Author : LucieArt
language : en
Publisher: Selfpublishing
Release Date : 2024-09-15

Natural Language Processing With Ai Understanding Language And Context written by LucieArt and has been published by Selfpublishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-15 with Computers categories.


"Natural Language Processing with AI: Understanding Language and Context" provides a comprehensive exploration of how artificial intelligence interprets and processes human language. This practical guide demystifies the principles of Natural Language Processing (NLP), explaining how AI technologies are transforming communication, text analysis, and interaction in today’s digital age. Dive into essential NLP techniques and algorithms, learn about real-world applications across various industries, and understand the challenges and limitations faced by modern NLP systems. This book covers future directions, practical implementation strategies, and case studies to help you harness NLP technologies effectively. Perfect for beginners and professionals alike, this guide offers clear explanations and actionable insights to leverage NLP in business and research. Discover how AI can enhance language understanding, automate tasks, and drive innovation.



Speech And Language Processing


Speech And Language Processing
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Author : Daniel Jurafsky
language : en
Publisher:
Release Date : 2000-01

Speech And Language Processing written by Daniel Jurafsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01 with Automatic speech recognition categories.


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.



Natural Language Processing In Artificial Intelligence


Natural Language Processing In Artificial Intelligence
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Author : Brojo Kishore Mishra
language : en
Publisher: Apple Academic Press
Release Date : 2022-06

Natural Language Processing In Artificial Intelligence written by Brojo Kishore Mishra and has been published by Apple Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06 with categories.


Natural Language Processing in Artificial Intelligence, focuses on natural language processing, artificial intelligence, and allied areas. The book delves into natural language processing, which enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world.



Foundations Of Statistical Natural Language Processing


Foundations Of Statistical Natural Language Processing
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Author : Christopher Manning
language : en
Publisher: MIT Press
Release Date : 1999-05-28

Foundations Of Statistical Natural Language Processing written by Christopher Manning and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-05-28 with Language Arts & Disciplines categories.


Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.



Applied Natural Language Processing In The Enterprise


Applied Natural Language Processing In The Enterprise
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Author : Ankur A. Patel
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-05-12

Applied Natural Language Processing In The Enterprise written by Ankur A. Patel and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-12 with Computers categories.


NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production



Deep Learning For Natural Language Processing


Deep Learning For Natural Language Processing
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Author : Palash Goyal
language : en
Publisher: Apress
Release Date : 2018-06-26

Deep Learning For Natural Language Processing written by Palash Goyal and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-26 with Computers categories.


Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system. This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways. What You Will Learn Gain the fundamentals of deep learning and its mathematical prerequisites Discover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classification Who This Book Is For Software developers who are curious to try out deep learning with NLP.



Artificial Intelligent Techniques For Wireless Communication And Networking


Artificial Intelligent Techniques For Wireless Communication And Networking
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Author : R. Kanthavel
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-24

Artificial Intelligent Techniques For Wireless Communication And Networking written by R. Kanthavel 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 2022-02-24 with Computers categories.


ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING The 20 chapters address AI principles and techniques used in wireless communication and networking and outline their benefit, function, and future role in the field. Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments. Audience Researchers, industry IT engineers, and graduate students working on and implementing AI-based wireless sensor networks, 5G, IoT, deep learning, reinforcement learning, and robotics in WSN, and related technologies.



Cognitive Approach To Natural Language Processing


Cognitive Approach To Natural Language Processing
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Author : Bernadette Sharp
language : en
Publisher: Elsevier
Release Date : 2017-05-31

Cognitive Approach To Natural Language Processing written by Bernadette Sharp and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-31 with Computers categories.


As natural language processing spans many different disciplines, it is sometimes difficult to understand the contributions and the challenges that each of them presents. This book explores the special relationship between natural language processing and cognitive science, and the contribution of computer science to these two fields. It is based on the recent research papers submitted at the international workshops of Natural Language and Cognitive Science (NLPCS) which was launched in 2004 in an effort to bring together natural language researchers, computer scientists, and cognitive and linguistic scientists to collaborate together and advance research in natural language processing. The chapters cover areas related to language understanding, language generation, word association, word sense disambiguation, word predictability, text production and authorship attribution. This book will be relevant to students and researchers interested in the interdisciplinary nature of language processing. - Discusses the problems and issues that researchers face, providing an opportunity for developers of NLP systems to learn from cognitive scientists, cognitive linguistics and neurolinguistics - Provides a valuable opportunity to link the study of natural language processing to the understanding of the cognitive processes of the brain



Proceedings Of The 2024 International Conference On Artificial Intelligence And Communication Icaic 2024


Proceedings Of The 2024 International Conference On Artificial Intelligence And Communication Icaic 2024
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Author : Yulin Wang
language : en
Publisher: Springer Nature
Release Date : 2024-09-23

Proceedings Of The 2024 International Conference On Artificial Intelligence And Communication Icaic 2024 written by Yulin Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Computers categories.


This is an open access book. With great pleasure and anticipation, we extend our warmest welcome to the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024). As we embark on this journey of intellectual exchange and collaboration, we are thrilled to bring together leading experts, researchers, and practitioners from around the globe to explore the latest advancements and breakthroughs in these dynamic fields. ICAIC 2024 promises to be a platform where innovative ideas converge, fostering insightful discussions and shaping the future of AI and communication technologies. With diverse sessions, workshops, and keynote speeches, we aim to delve into the multifaceted aspects of AI and communication, uncovering new possibilities and opportunities for growth and development. Our call for papers encompasses several tracks, each designed to showcase the latest research and developments in key areas of interest. These tracks include: AI and Communication Fundamental Intelligent Sensors and IoT Communication Speech and Image Processing 5G and Communication Technologies We invite scholars, researchers, and industry professionals to submit their original contributions and join us in exploring these vital domains. Together, let us delve into the realms of innovation and discovery, driving forward the frontiers of knowledge and transforming ideas into tangible solutions.



Artificial Intelligence Concepts Techniques And Applications


Artificial Intelligence Concepts Techniques And Applications
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Author : Dr. Amir Barhoi
language : en
Publisher: Chyren Publication
Release Date : 2025-04-16

Artificial Intelligence Concepts Techniques And Applications written by Dr. Amir Barhoi and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Antiques & Collectibles categories.