Modern Language Models And Computation

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Modern Language Models and Computation

Author : Alexander Meduna
Publisher : Springer
ISBN 13 : 3319631004
Total Pages : 548 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Modern Language Models and Computation by : Alexander Meduna

Download or read book Modern Language Models and Computation written by Alexander Meduna and published by Springer. This book was released on 2017-10-04 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook gives a systematized and compact summary, providing the most essential types of modern models for languages and computation together with their properties and applications. Most of these models properly reflect and formalize current computational methods, based on parallelism, distribution and cooperation covered in this book. As a result, it allows the user to develop, study, and improve these methods very effectively. This textbook also represents the first systematic treatment of modern language models for computation. It covers all essential theoretical topics concerning them. From a practical viewpoint, it describes various concepts, methods, algorithms, techniques, and software units based upon these models. Based upon them, it describes several applications in biology, linguistics, and computer science. Advanced-level students studying computer science, mathematics, linguistics and biology will find this textbook a valuable resource. Theoreticians, practitioners and researchers working in today’s theory of computation and its applications will also find this book essential as a reference.

Handbook of Mathematical Models for Languages and Computation

Author : Alexander Meduna
Publisher : Computing and Networks
ISBN 13 : 1785616595
Total Pages : 761 pages
Book Rating : 4.7/5 (856 download)

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Book Synopsis Handbook of Mathematical Models for Languages and Computation by : Alexander Meduna

Download or read book Handbook of Mathematical Models for Languages and Computation written by Alexander Meduna and published by Computing and Networks. This book was released on 2020-01-10 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook introduces a variety of concepts in discrete mathematics and mathematical modeling for languages and computation. The authors pay special attention to the implementation of mathematical concepts to explain clearly how to encode them in computational practice. All computer programs are written in C#.

Models of Computation

Author :
Publisher :
ISBN 13 : 9781586924386
Total Pages : pages
Book Rating : 4.9/5 (243 download)

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Book Synopsis Models of Computation by :

Download or read book Models of Computation written by and published by . This book was released on 2002-01-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Logic and Language Models for Computer Science

Author : Dana Richards
Publisher : World Scientific Publishing Company
ISBN 13 : 9813229225
Total Pages : 468 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Logic and Language Models for Computer Science by : Dana Richards

Download or read book Logic and Language Models for Computer Science written by Dana Richards and published by World Scientific Publishing Company. This book was released on 2017-09-08 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents the formal concepts underlying Computer Science. It starts with a wide introduction to Logic with an emphasis on reasoning and proof, with chapters on Program Verification and Prolog. The treatment of computability with Automata and Formal Languages stands out in several ways: it emphasizes the algorithmic nature of the proofs and the reliance on simulations;it stresses the centrality of nondeterminism in generative models and the relationship to deterministic recognition models The style is appropriate for both undergraduate and graduate classes.

Models of Computation

Author : Maribel Fernandez
Publisher : Springer Science & Business Media
ISBN 13 : 1848824343
Total Pages : 188 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Models of Computation by : Maribel Fernandez

Download or read book Models of Computation written by Maribel Fernandez and published by Springer Science & Business Media. This book was released on 2009-04-14 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Concise Introduction to Computation Models and Computability Theory provides an introduction to the essential concepts in computability, using several models of computation, from the standard Turing Machines and Recursive Functions, to the modern computation models inspired by quantum physics. An in-depth analysis of the basic concepts underlying each model of computation is provided. Divided into two parts, the first highlights the traditional computation models used in the first studies on computability: - Automata and Turing Machines; - Recursive functions and the Lambda-Calculus; - Logic-based computation models. and the second part covers object-oriented and interaction-based models. There is also a chapter on concurrency, and a final chapter on emergent computation models inspired by quantum mechanics. At the end of each chapter there is a discussion on the use of computation models in the design of programming languages.

Deep Learning

Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Computational approaches to semantic change

Author : Nina Tahmasebi
Publisher : Language Science Press
ISBN 13 : 3961103127
Total Pages : 396 pages
Book Rating : 4.9/5 (611 download)

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Book Synopsis Computational approaches to semantic change by : Nina Tahmasebi

Download or read book Computational approaches to semantic change written by Nina Tahmasebi and published by Language Science Press. This book was released on 2021-08-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantic change — how the meanings of words change over time — has preoccupied scholars since well before modern linguistics emerged in the late 19th and early 20th century, ushering in a new methodological turn in the study of language change. Compared to changes in sound and grammar, semantic change is the least understood. Ever since, the study of semantic change has progressed steadily, accumulating a vast store of knowledge for over a century, encompassing many languages and language families. Historical linguists also early on realized the potential of computers as research tools, with papers at the very first international conferences in computational linguistics in the 1960s. Such computational studies still tended to be small-scale, method-oriented, and qualitative. However, recent years have witnessed a sea-change in this regard. Big-data empirical quantitative investigations are now coming to the forefront, enabled by enormous advances in storage capability and processing power. Diachronic corpora have grown beyond imagination, defying exploration by traditional manual qualitative methods, and language technology has become increasingly data-driven and semantics-oriented. These developments present a golden opportunity for the empirical study of semantic change over both long and short time spans. A major challenge presently is to integrate the hard-earned knowledge and expertise of traditional historical linguistics with cutting-edge methodology explored primarily in computational linguistics. The idea for the present volume came out of a concrete response to this challenge. The 1st International Workshop on Computational Approaches to Historical Language Change (LChange'19), at ACL 2019, brought together scholars from both fields. This volume offers a survey of this exciting new direction in the study of semantic change, a discussion of the many remaining challenges that we face in pursuing it, and considerably updated and extended versions of a selection of the contributions to the LChange'19 workshop, addressing both more theoretical problems — e.g., discovery of "laws of semantic change" — and practical applications, such as information retrieval in longitudinal text archives.

Computational Complexity

Author : Sanjeev Arora
Publisher : Cambridge University Press
ISBN 13 : 0521424267
Total Pages : 609 pages
Book Rating : 4.5/5 (214 download)

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Book Synopsis Computational Complexity by : Sanjeev Arora

Download or read book Computational Complexity written by Sanjeev Arora and published by Cambridge University Press. This book was released on 2009-04-20 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.

Jumping Computation

Author : Alexander Meduna
Publisher : CRC Press
ISBN 13 : 1003852548
Total Pages : 294 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Jumping Computation by : Alexander Meduna

Download or read book Jumping Computation written by Alexander Meduna and published by CRC Press. This book was released on 2024-03-07 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jumping Computation: Updating Automata and Grammars for Discontinuous Information Processing is primarily a theoretically oriented treatment of jumping automata and grammars, covering all essential theoretical topics concerning them, including their power, properties, and transformations. From a practical viewpoint, it describes various concepts, methods, algorithms, techniques, case studies and applications based upon these automata and grammars. In today’s computerized world, the scientific development and study of computation, referred to as the theory of computation, plays a crucial role. One important branch, language theory, investigates how to define and study languages and their models, which formalize algorithms according to which their computation is executed. These language-defining models are classified into two basic categories: automata, which define languages by recognizing their words, and grammars, which generate them. Introduced many decades ago, these rules reflect classical sequential computation. However, today’s computational methods frequently process information in a fundamentally different way, frequently “jumping” over large portions of the information as a whole. This book adapts classical models to formalize and study this kind of computation properly. Simply put, during their language-defining process, these adapted versions, called jumping automata and grammars, jump across the words they work on. The book selects important models and summarizes key results about them in a compact and uniform way. It relates each model to a particular form of modern computation, such as sequential, semi-parallel and totally parallel computation, and explains how the model in question properly reflects and formalizes the corresponding form of computation, thus allowing us to obtain a systematized body of mathematically precise knowledge concerning the jumping computation. The book pays a special attention to power, closure properties, and transformations, and also describes many algorithms that modify jumping grammars and automata so they satisfy some prescribed properties without changing the defined language. The book will be of great interest to anyone researching the theory of computation across the fields of computer science, mathematics, engineering, logic and linguistics.

Theory of Computation

Author : George Tourlakis
Publisher : John Wiley & Sons
ISBN 13 : 1118315359
Total Pages : 410 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis Theory of Computation by : George Tourlakis

Download or read book Theory of Computation written by George Tourlakis and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the skills and acquire the intuition to assess the theoretical limitations of computer programming Offering an accessible approach to the topic, Theory of Computation focuses on the metatheory of computing and the theoretical boundaries between what various computational models can do and not do—from the most general model, the URM (Unbounded Register Machines), to the finite automaton. A wealth of programming-like examples and easy-to-follow explanations build the general theory gradually, which guides readers through the modeling and mathematical analysis of computational phenomena and provides insights on what makes things tick and also what restrains the ability of computational processes. Recognizing the importance of acquired practical experience, the book begins with the metatheory of general purpose computer programs, using URMs as a straightforward, technology-independent model of modern high-level programming languages while also exploring the restrictions of the URM language. Once readers gain an understanding of computability theory—including the primitive recursive functions—the author presents automata and languages, covering the regular and context-free languages as well as the machines that recognize these languages. Several advanced topics such as reducibilities, the recursion theorem, complexity theory, and Cook's theorem are also discussed. Features of the book include: A review of basic discrete mathematics, covering logic and induction while omitting specialized combinatorial topics A thorough development of the modeling and mathematical analysis of computational phenomena, providing a solid foundation of un-computability The connection between un-computability and un-provability: Gödel's first incompleteness theorem The book provides numerous examples of specific URMs as well as other programming languages including Loop Programs, FA (Deterministic Finite Automata), NFA (Nondeterministic Finite Automata), and PDA (Pushdown Automata). Exercises at the end of each chapter allow readers to test their comprehension of the presented material, and an extensive bibliography suggests resources for further study. Assuming only a basic understanding of general computer programming and discrete mathematics, Theory of Computation serves as a valuable book for courses on theory of computation at the upper-undergraduate level. The book also serves as an excellent resource for programmers and computing professionals wishing to understand the theoretical limitations of their craft.

Computational Linguistics

Author : Nick Cercone
Publisher : Elsevier
ISBN 13 : 1483190617
Total Pages : 258 pages
Book Rating : 4.4/5 (831 download)

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Book Synopsis Computational Linguistics by : Nick Cercone

Download or read book Computational Linguistics written by Nick Cercone and published by Elsevier. This book was released on 2014-06-20 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Linguistics provides an overview of the variety of important research in computational linguistics in North America. This work is divided into 15 chapters and begins with a survey of the theoretical foundations and parsing strategies for natural language. The succeeding chapters deal with psychological and linguistic modeling, discourse processing analysis, text and content analysis, and natural language understanding, as well as knowledge organization, memory models, and learning. Other chapters describe the programming systems and considerations for computation linguistics. The last chapters look into the nature of natural language front-end processes to database systems. These chapters also examine the human factors interface. This book will prove useful to computing scientists, philosophers, psychologists, and linguists.

Speech & Language Processing

Author : Dan Jurafsky
Publisher : Pearson Education India
ISBN 13 : 9788131716724
Total Pages : 912 pages
Book Rating : 4.7/5 (167 download)

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Book Synopsis Speech & Language Processing by : Dan Jurafsky

Download or read book Speech & Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Formal Languages and Computation

Author : Alexander Meduna
Publisher : CRC Press
ISBN 13 : 1466513454
Total Pages : 318 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Formal Languages and Computation by : Alexander Meduna

Download or read book Formal Languages and Computation written by Alexander Meduna and published by CRC Press. This book was released on 2014-02-11 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Formal Languages and Computation: Models and Their Applications gives a clear, comprehensive introduction to formal language theory and its applications in computer science. It covers all rudimental topics concerning formal languages and their models, especially grammars and automata, and sketches the basic ideas underlying the theory of computation, including computability, decidability, and computational complexity. Emphasizing the relationship between theory and application, the book describes many real-world applications, including computer science engineering techniques for language processing and their implementation. Covers the theory of formal languages and their models, including all essential concepts and properties Explains how language models underlie language processors Pays a special attention to programming language analyzers, such as scanners and parsers, based on four language models—regular expressions, finite automata, context-free grammars, and pushdown automata Discusses the mathematical notion of a Turing machine as a universally accepted formalization of the intuitive notion of a procedure Reviews the general theory of computation, particularly computability and decidability Considers problem-deciding algorithms in terms of their computational complexity measured according to time and space requirements Points out that some problems are decidable in principle, but they are, in fact, intractable problems for absurdly high computational requirements of the algorithms that decide them In short, this book represents a theoretically oriented treatment of formal languages and their models with a focus on their applications. It introduces all formalisms concerning them with enough rigors to make all results quite clear and valid. Every complicated mathematical passage is preceded by its intuitive explanation so that even the most complex parts of the book are easy to grasp. After studying this book, both student and professional should be able to understand the fundamental theory of formal languages and computation, write language processors, and confidently follow most advanced books on the subject.

Logic And Language Models For Computer Science (Fourth Edition)

Author : Dana Richards
Publisher : World Scientific
ISBN 13 : 9811260680
Total Pages : 497 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Logic And Language Models For Computer Science (Fourth Edition) by : Dana Richards

Download or read book Logic And Language Models For Computer Science (Fourth Edition) written by Dana Richards and published by World Scientific. This book was released on 2023-01-19 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique compendium highlights the theory of computation, particularly logic and automata theory. Special emphasis is on computer science applications including loop invariants, program correctness, logic programming and algorithmic proof techniques.This innovative volume differs from standard textbooks, by building on concepts in a different order, using fewer theorems with simpler proofs. It has added many new examples, problems and answers. It can be used as an undergraduate text at most universities.

Modern Computational Models of Semantic Discovery in Natural Language

Author : Žižka, Jan
Publisher : IGI Global
ISBN 13 : 146668691X
Total Pages : 353 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Modern Computational Models of Semantic Discovery in Natural Language by : Žižka, Jan

Download or read book Modern Computational Models of Semantic Discovery in Natural Language written by Žižka, Jan and published by IGI Global. This book was released on 2015-07-17 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Language—that is, oral or written content that references abstract concepts in subtle ways—is what sets us apart as a species, and in an age defined by such content, language has become both the fuel and the currency of our modern information society. This has posed a vexing new challenge for linguists and engineers working in the field of language-processing: how do we parse and process not just language itself, but language in vast, overwhelming quantities? Modern Computational Models of Semantic Discovery in Natural Language compiles and reviews the most prominent linguistic theories into a single source that serves as an essential reference for future solutions to one of the most important challenges of our age. This comprehensive publication benefits an audience of students and professionals, researchers, and practitioners of linguistics and language discovery. This book includes a comprehensive range of topics and chapters covering digital media, social interaction in online environments, text and data mining, language processing and translation, and contextual documentation, among others.

Handbook of Mathematical Models for Languages and Computation

Author : Alexander Meduna
Publisher :
ISBN 13 : 9781785616600
Total Pages : 0 pages
Book Rating : 4.6/5 (166 download)

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Book Synopsis Handbook of Mathematical Models for Languages and Computation by : Alexander Meduna

Download or read book Handbook of Mathematical Models for Languages and Computation written by Alexander Meduna and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory of computation is used to address challenges arising in many computer science areas such as artificial intelligence, language processors, compiler writing, information and coding systems, programming language design, computer architecture and more. To grasp topics concerning this theory readers need to familiarize themselves with its computational and language models, based on concepts of discrete mathematics including sets, relations, functions, graphs and logic.

Introduction to Natural Language Processing

Author : Jacob Eisenstein
Publisher : MIT Press
ISBN 13 : 0262042843
Total Pages : 535 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Introduction to Natural Language Processing by : Jacob Eisenstein

Download or read book Introduction to Natural Language Processing written by Jacob Eisenstein and published by MIT Press. This book was released on 2019-10-01 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.