Artificial Intelligence And Natural Language

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The Natural Language for Artificial Intelligence

Dioneia Motta Monte-Serrat,Carlo Cattani
The Natural Language for Artificial Intelligence Book PDF

Author : Dioneia Motta Monte-Serrat,Carlo Cattani
Publisher : Academic Press
Page : 254 pages
File Size : 41,6 Mb
Release : 2021-03-28
Category : Computers
ISBN : 9780323859219

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The Natural Language for Artificial Intelligence by Dioneia Motta Monte-Serrat,Carlo Cattani Pdf

The Natural Language for Artificial Intelligence presents the biological and logical structure typical of human language in its dynamic mediating process between reality and the human mind. The book explains linguistic functioning in the dynamic process of human cognition when forming meaning. After that, an approach to artificial intelligence (AI) is outlined, which works with a more restricted concept of natural language that leads to flaws and ambiguities. Subsequently, the characteristics of natural language and patterns of how it behaves in different branches of science are revealed to indicate ways to improve the development of AI in specific fields of science. A brief description of the universal structure of language is also presented as an algorithmic model to be followed in the development of AI. Since AI aims to imitate the process of the human mind, the book shows how the cross-fertilization between natural language and AI should be done using the logical-axiomatic structure of natural language adjusted to the logical-mathematical processes of the machine. Presents a comprehensive approach to natural language and its inherent and complex dynamics Develops language content as the next frontier, identifying the universal structure of language as a common structure that appears in both AI and cognitive computing Explains the standard structure present in cognition and AI, making them interchangeable Offers examples of the application of the universal language model in image analysis and conventional language

The Natural Language for Artificial Intelligence

Dioneia Motta Monte-Serrat,Carlo Cattani
The Natural Language for Artificial Intelligence Book PDF

Author : Dioneia Motta Monte-Serrat,Carlo Cattani
Publisher : Elsevier
Page : 252 pages
File Size : 51,8 Mb
Release : 2021-04-06
Category : Computers
ISBN : 9780128241189

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The Natural Language for Artificial Intelligence by Dioneia Motta Monte-Serrat,Carlo Cattani Pdf

The Natural Language for Artificial Intelligence presents natural language as the next frontier because it identifies something that is most sought after by scholars: The universal structure of language that gives rise to the respective universal algorithm. In short, this book presents the biological and logical structure typical of human language in its dynamic mediating process between reality and the human mind that, at the same time, interprets the context of reality. It is a non-static approach to natural language, which is defined as a complex system whose parts interact with the ability to generate a new quality of behavior and whose dynamic elements are mapped in order to be understood and executed by intelligent systems, guiding the paradigms of cognitive computing. The book explains linguistic functioning in the dynamic process of human cognition when forming meaning. After that, an approach to artificial intelligence (AI) is outlined, which works with a more restricted concept of natural language, leading to flaws and ambiguities. Subsequently, the characteristics of natural language and patterns of how it behaves in different branches of science are revealed, to indicate ways to improve the development of AI in specific fields of science. A brief description of the universal structure of language is also presented as an algorithmic model to be followed in the development of AI. Since AI aims to imitate the process of the human mind, the book shows how the cross-fertilization between natural language and AI should be done using the logical-axiomatic structure of natural language adjusted to the logical-mathematical processes of the machine.

Natural Language Processing in Artificial Intelligence

Brojo Kishore Mishra,Raghvendra Kumar
Natural Language Processing in Artificial Intelligence Book PDF

Author : Brojo Kishore Mishra,Raghvendra Kumar
Publisher : CRC Press
Page : 297 pages
File Size : 54,7 Mb
Release : 2020-11-01
Category : Science
ISBN : 9781000711318

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Natural Language Processing in Artificial Intelligence by Brojo Kishore Mishra,Raghvendra Kumar Pdf

This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

Natural Language Processing

Yue Zhang,Zhiyang Teng
Natural Language Processing Book PDF

Author : Yue Zhang,Zhiyang Teng
Publisher : Cambridge University Press
Page : 487 pages
File Size : 43,8 Mb
Release : 2021-01-07
Category : Computers
ISBN : 9781108420211

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Natural Language Processing by Yue Zhang,Zhiyang Teng Pdf

This undergraduate textbook introduces essential machine learning concepts in NLP in a unified and gentle mathematical framework.

Machine Learning of Natural Language

David M.W. Powers,Christopher C.R. Turk
Machine Learning of Natural Language Book PDF

Author : David M.W. Powers,Christopher C.R. Turk
Publisher : Springer Science & Business Media
Page : 361 pages
File Size : 50,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447116974

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Machine Learning of Natural Language by David M.W. Powers,Christopher C.R. Turk Pdf

We met because we both share the same views of language. Language is a living organism, produced by neural mechanisms relating in large numbers as a society. Language exists between minds, as a way of communicating between them, not as an autonomous process. The logical 'rules' seem to us an epiphe nomena ·of the neural mechanism, rather than an essential component in language. This view of language has been advocated by an increasing number of workers, as the view that language is simply a collection of logical rules has had less and less success. People like Yorick Wilks have been able to show in paper after paper that almost any rule which can be devised can be shown to have exceptions. The meaning does not lie in the rules. David Powers is a teacher of computer science. Christopher Turk, like many workers who have come into the field of AI (Artificial Intelligence) was originally trained in literature. He moved into linguistics, and then into computational linguistics. In 1983 he took a sabbatical in Roger Shank's AI project in the Computer Science Department at Yale University. Like an earlier visitor to the project, John Searle from California, Christopher Turk was increasingly uneasy at the view of language which was used at Yale.

Toward Human-Level Artificial Intelligence

Philip C. Jackson, Jr
Toward Human Level Artificial Intelligence Book PDF

Author : Philip C. Jackson, Jr
Publisher : Courier Dover Publications
Page : 43 pages
File Size : 51,8 Mb
Release : 2019-11-13
Category : Mathematics
ISBN : 9780486833002

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Toward Human-Level Artificial Intelligence by Philip C. Jackson, Jr Pdf

How can human-level artificial intelligence be achieved? What are the potential consequences? This book describes a research approach toward achieving human-level AI, combining a doctoral thesis and research papers by the author. The research approach, called TalaMind, involves developing an AI system that uses a 'natural language of thought' based on the unconstrained syntax of a language such as English; designing the system as a collection of concepts that can create and modify concepts to behave intelligently in an environment; and using methods from cognitive linguistics for multiple levels of mental representation. Proposing a design-inspection alternative to the Turing Test, these pages discuss 'higher-level mentalities' of human intelligence, which include natural language understanding, higher-level forms of learning and reasoning, imagination, and consciousness. Dr. Jackson gives a comprehensive review of other research, addresses theoretical objections to the proposed approach and to achieving human-level AI in principle, and describes a prototype system that illustrates the potential of the approach. This book discusses economic risks and benefits of AI, considers how to ensure that human-level AI and superintelligence will be beneficial for humanity, and gives reasons why human-level AI may be necessary for humanity's survival and prosperity.

Deep Natural Language Processing and AI Applications for Industry 5.0

Tanwar, Poonam,Saxena, Arti,Priya, C.
Deep Natural Language Processing and AI Applications for Industry 5 0 Book PDF

Author : Tanwar, Poonam,Saxena, Arti,Priya, C.
Publisher : IGI Global
Page : 240 pages
File Size : 51,6 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799877301

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Deep Natural Language Processing and AI Applications for Industry 5.0 by Tanwar, Poonam,Saxena, Arti,Priya, C. Pdf

To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.

Natural Language Processing in Artificial Intelligence — NLPinAI 2021

Roussanka Loukanova
Natural Language Processing in Artificial Intelligence NLPinAI 2021 Book PDF

Author : Roussanka Loukanova
Publisher : Springer Nature
Page : 126 pages
File Size : 44,8 Mb
Release : 2021-11-01
Category : Technology & Engineering
ISBN : 9783030901387

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Natural Language Processing in Artificial Intelligence — NLPinAI 2021 by Roussanka Loukanova Pdf

The book covers theoretical work, approaches, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language are proliferating. Adequate coverage of natural language processing in artificial intelligence encounters problems on developments of specialized computational approaches and algorithms. Many difficulties are due to ambiguities in natural language and dependency of interpretations on contexts and agents. Classical approaches proceed with relevant updates, and new developments emerge in theories of formal and natural languages, computational models of information and reasoning, and related computerized applications. Its focus is on computational processing of human language and relevant medium languages, which can be theoretically formal, or for programming and specification of computational systems. The goal is to promote intelligent natural language processing, along with models of computation, language, reasoning, and other cognitive processes.

Advances in Artificial Intelligence

Martin C. Golumbic
Advances in Artificial Intelligence Book PDF

Author : Martin C. Golumbic
Publisher : Springer Science & Business Media
Page : 315 pages
File Size : 46,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461390527

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Advances in Artificial Intelligence by Martin C. Golumbic Pdf

Research in artificial intelligence, natural language processing and knowledge-based systems has blossomed during the past decade. At national and international symposia as well as in research centers and universities all over the world, these subjects have been the focus of intense debate and study. This is equally true in Israel which has hosted several international forums on these topics. The articles in this book represent a selection of contributions presented at recent AI conferences held in Israel. A theoretical model for a system that learns from its own experience in playing board games is presented in Learning from Experience in Board Games by Ze'ev Ben-Porat and Martin Golumbic. The model enables such a system to enhance and improve its playing capabilities through the use of a learning mechanism which extracts knowledge from actual playing experience. The learning process requires no external guidance or assistance. This model was implemented and tested on a variant of "Chinese Checkers. " The paper shows the feasibility and validity of the proposed model and investigates the parameters that affect its performance traits. The experimental results give evidence of the validity of the model as a powerful learning mechanism. Original and general algorithms for knowledge extraction and pattern matching were designed and tested as part of the prototype computer system. Analysis of the performance characteristics of these algorithms indicates that they can handle large knowledge bases in an efficient manner.

Practical Natural Language Processing

Sowmya Vajjala,Bodhisattwa Majumder,Anuj Gupta,Harshit Surana
Practical Natural Language Processing Book PDF

Author : Sowmya Vajjala,Bodhisattwa Majumder,Anuj Gupta,Harshit Surana
Publisher : O'Reilly Media
Page : 455 pages
File Size : 54,7 Mb
Release : 2020-06-17
Category : Computers
ISBN : 9781492054023

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Practical Natural Language Processing by Sowmya Vajjala,Bodhisattwa Majumder,Anuj Gupta,Harshit Surana Pdf

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective

Handbook of Natural Language Processing and Machine Translation

Joseph Olive,Caitlin Christianson,John McCary
Handbook of Natural Language Processing and Machine Translation Book PDF

Author : Joseph Olive,Caitlin Christianson,John McCary
Publisher : Springer Science & Business Media
Page : 956 pages
File Size : 52,5 Mb
Release : 2011-03-02
Category : Computers
ISBN : 9781441977137

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Handbook of Natural Language Processing and Machine Translation by Joseph Olive,Caitlin Christianson,John McCary Pdf

This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program--The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation. The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research programs, each of the individual processes was performed separately and sequentially: speech recognition, language recognition, transcription, translation, and content summarization. The GALE program employed a distinctly new approach by executing these processes simultaneously. Speech and language recognition algorithms now aid translation and transcription processes and vice versa. This combination of previously distinct processes has produced significant research and performance breakthroughs and has fundamentally changed the natural language processing and machine translation fields. This comprehensive handbook provides an exhaustive exploration into these latest technologies in natural language, speech and signal processing, and machine translation, providing researchers, practitioners and students with an authoritative reference on the topic.

Natural Language Generation

G.A. Kempen
Natural Language Generation Book PDF

Author : G.A. Kempen
Publisher : Springer Science & Business Media
Page : 460 pages
File Size : 47,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9789400936454

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Natural Language Generation by G.A. Kempen Pdf

Proceedings of the NATO Advanced Research Workshop, Nijmegen, The Netherlands, August 19-23, 1986

Introduction to Natural Language Processing

Jacob Eisenstein
Introduction to Natural Language Processing Book PDF

Author : Jacob Eisenstein
Publisher : MIT Press
Page : 535 pages
File Size : 47,6 Mb
Release : 2019-10-01
Category : Computers
ISBN : 9780262042840

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Introduction to Natural Language Processing by Jacob Eisenstein Pdf

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

Natural Language Annotation for Machine Learning

James Pustejovsky,Amber Stubbs
Natural Language Annotation for Machine Learning Book PDF

Author : James Pustejovsky,Amber Stubbs
Publisher : "O'Reilly Media, Inc."
Page : 344 pages
File Size : 43,8 Mb
Release : 2013
Category : Computers
ISBN : 9781449306663

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Natural Language Annotation for Machine Learning by James Pustejovsky,Amber Stubbs Pdf

Includes bibliographical references (p. 305-315) and index.

Linguistics for the Age of AI

Marjorie Mcshane,Sergei Nirenburg
Linguistics for the Age of AI Book PDF

Author : Marjorie Mcshane,Sergei Nirenburg
Publisher : MIT Press
Page : 449 pages
File Size : 52,8 Mb
Release : 2021-03-02
Category : Computers
ISBN : 9780262362603

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Linguistics for the Age of AI by Marjorie Mcshane,Sergei Nirenburg Pdf

A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.