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Author: Michael Richter Publisher: Walter de Gruyter GmbH & Co KG ISBN: 3110788276 Category : Language Arts & Disciplines Languages : en Pages : 203
Book Description
Have you ever wondered how the principles behind Shannon's groundbreaking Information Theory can be interwoven with the intricate fabric of linguistic communication? This book takes you on a fascinating journey, offering insights into how humans process and comprehend language. By applying Information Theory to the realm of natural language semantics, it unravels the connection between regularities in linguistic messages and the cognitive intricacies of language processing. Highlighting the intersections of information theory with linguistics, philosophy, cognitive psychology, and computer science, this book serves as an inspiration for anyone seeking to understand the predictive capabilities of Information Theory in modeling human communication. It elaborates on the seminal works from giants in the field like Dretske, Hale, and Zipf, exploring concepts like surprisal theory and the principle of least effort. With its empirical approach, this book not only discusses the theoretical aspects but also ventures into the application of Shannon's Information Theory in real-world language scenarios, strengthened by advanced statistical methods and machine learning. It touches upon challenging areas such as the distinction between mathematical and semantic information, the concept of information in linguistic utterances, and the intricate play between truth, context, and meaning. Whether you are a linguist, a cognitive psychologist, a philosopher, or simply an enthusiast eager to dive deep into the world where language meets information, this book promises a thought-provoking journey.
Author: Michael Richter Publisher: Walter de Gruyter GmbH & Co KG ISBN: 3110788276 Category : Language Arts & Disciplines Languages : en Pages : 203
Book Description
Have you ever wondered how the principles behind Shannon's groundbreaking Information Theory can be interwoven with the intricate fabric of linguistic communication? This book takes you on a fascinating journey, offering insights into how humans process and comprehend language. By applying Information Theory to the realm of natural language semantics, it unravels the connection between regularities in linguistic messages and the cognitive intricacies of language processing. Highlighting the intersections of information theory with linguistics, philosophy, cognitive psychology, and computer science, this book serves as an inspiration for anyone seeking to understand the predictive capabilities of Information Theory in modeling human communication. It elaborates on the seminal works from giants in the field like Dretske, Hale, and Zipf, exploring concepts like surprisal theory and the principle of least effort. With its empirical approach, this book not only discusses the theoretical aspects but also ventures into the application of Shannon's Information Theory in real-world language scenarios, strengthened by advanced statistical methods and machine learning. It touches upon challenging areas such as the distinction between mathematical and semantic information, the concept of information in linguistic utterances, and the intricate play between truth, context, and meaning. Whether you are a linguist, a cognitive psychologist, a philosopher, or simply an enthusiast eager to dive deep into the world where language meets information, this book promises a thought-provoking journey.
Author: Michael Richter Publisher: Walter de Gruyter ISBN: 9783110787962 Category : Languages : en Pages : 0
Book Description
Have you ever wondered how the principles behind Shannon's groundbreaking Information Theory can be interwoven with the intricate fabric of linguistic communication? This book takes you on a fascinating journey, offering insights into how humans process and comprehend language. By applying Information Theory to the realm of natural language semantics, it unravels the connection between regularities in linguistic messages and the cognitive intricacies of language processing. Highlighting the intersections of information theory with linguistics, philosophy, cognitive psychology, and computer science, this book serves as an inspiration for anyone seeking to understand the predictive capabilities of Information Theory in modeling human communication. It elaborates on the seminal works from giants in the field like Dretske, Hale, and Zipf, exploring concepts like surprisal theory and the principle of least effort. With its empirical approach, this book not only discusses the theoretical aspects but also ventures into the application of Shannon's Information Theory in real-world language scenarios, strengthened by advanced statistical methods and machine learning. It touches upon challenging areas such as the distinction between mathematical and semantic information, the concept of information in linguistic utterances, and the intricate play between truth, context, and meaning. Whether you are a linguist, a cognitive psychologist, a philosopher, or simply an enthusiast eager to dive deep into the world where language meets information, this book promises a thought-provoking journey.
Author: Antti Oulasvirta Publisher: Oxford University Press ISBN: 0198799608 Category : Computers Languages : en Pages : 433
Book Description
This book presents computational interaction as an approach to explaining and enhancing the interaction between humans and information technology. Computational interaction applies abstraction, automation, and analysis to inform our understanding of the structure of interaction and also to inform the design of the software that drives new and exciting human-computer interfaces. The methods of computational interaction allow, for example, designers to identify user interfaces that are optimal against some objective criteria. They also allow software engineers to build interactive systems that adapt their behaviour to better suit individual capacities and preferences.00This book introduces computational interaction design to the reader by exploring a wide range of computational interaction techniques, strategies and methods. It explains how techniques such as optimisation, economic modelling, machine learning, control theory, formal methods, cognitive models and statistical language processing can be used to model interaction and design more expressive, efficient and versatile interaction.
Author: Shalom Lappin Publisher: CRC Press ISBN: 1000817873 Category : Computers Languages : en Pages : 309
Book Description
Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language. Until recently algebraic systems have dominated the study of natural language in formal and computational linguistics, AI, and the psychology of language, with linguistic knowledge seen as encoded in formal grammars, model theories, proof theories and other rule-driven devices. Recent work on deep learning has produced an increasingly powerful set of general learning mechanisms which do not apply rule-based algebraic models of representation. The success of deep learning in NLP has led some researchers to question the role of algebraic models in the study of human language acquisition and linguistic representation. Psychologists and cognitive scientists have also been exploring explanations of language evolution and language acquisition that rely on probabilistic methods, social interaction and information theory, rather than on formal models of grammar induction. This book addresses the learning procedures through which humans acquire natural language, and the way in which they represent its properties. It brings together leading researchers from computational linguistics, psychology, behavioral science and mathematical linguistics to consider the significance of non-algebraic methods for the study of natural language. The text represents a wide spectrum of views, from the claim that algebraic systems are largely irrelevant to the contrary position that non-algebraic learning methods are engineering devices for efficiently identifying the patterns that underlying grammars and semantic models generate for natural language input. There are interesting and important perspectives that fall at intermediate points between these opposing approaches, and they may combine elements of both. It will appeal to researchers and advanced students in each of these fields, as well as to anyone who wants to learn more about the relationship between computational models and natural language.
Author: Jacob Mey Publisher: Pergamon ISBN: Category : Language Arts & Disciplines Languages : en Pages : 1344
Book Description
Hardbound. Among the recent developments in the language sciences, the coming-of-age of the field of pragmatics and its official inauguration in the mid-seventies stand out as some of the most significant ones. The present work endeavours to sum up the development of the youngest offspring of linguistics in a number of conscientiously chosen, well-elaborated concepts that may be said to characterize both the discipline and its most famous practitioners. The increasingly complex notions and devices developed by linguists to cope with the description of naturally occurring language phenomena, have been joined with techniques and approaches due to the socially oriented schools of thought that see language first of all as a means of communication between human users. Based on the highly acclaimed and award winning Encyclopedia of Language and Linguistics this volume provides a collection of articles throughout which the vast scope of the field of pra
Author: Claude E Shannon Publisher: University of Illinois Press ISBN: 025209803X Category : Language Arts & Disciplines Languages : en Pages : 141
Book Description
Scientific knowledge grows at a phenomenal pace--but few books have had as lasting an impact or played as important a role in our modern world as The Mathematical Theory of Communication, published originally as a paper on communication theory more than fifty years ago. Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings. It is a revolutionary work, astounding in its foresight and contemporaneity. The University of Illinois Press is pleased and honored to issue this commemorative reprinting of a classic.
Author: Joanne Quinn Publisher: Corwin Press ISBN: 1544385404 Category : Education Languages : en Pages : 297
Book Description
The leading experts in system change and learning, with their school-based partners around the world, have created this essential companion to their runaway best-seller, Deep Learning: Engage the World Change the World. This hands-on guide provides a roadmap for building capacity in teachers, schools, districts, and systems to design deep learning, measure progress, and assess conditions needed to activate and sustain innovation. Dive Into Deep Learning: Tools for Engagement is rich with resources educators need to construct and drive meaningful deep learning experiences in order to develop the kind of mindset and know-how that is crucial to becoming a problem-solving change agent in our global society. Designed in full color, this easy-to-use guide is loaded with tools, tips, protocols, and real-world examples. It includes: • A framework for deep learning that provides a pathway to develop the six global competencies needed to flourish in a complex world — character, citizenship, collaboration, communication, creativity, and critical thinking. • Learning progressions to help educators analyze student work and measure progress. • Learning design rubrics, templates and examples for incorporating the four elements of learning design: learning partnerships, pedagogical practices, learning environments, and leveraging digital. • Conditions rubrics, teacher self-assessment tools, and planning guides to help educators build, mobilize, and sustain deep learning in schools and districts. Learn about, improve, and expand your world of learning. Put the joy back into learning for students and adults alike. Dive into deep learning to create learning experiences that give purpose, unleash student potential, and transform not only learning, but life itself.
Author: Rebecca Tipton Publisher: Routledge ISBN: 135179440X Category : Language Arts & Disciplines Languages : en Pages : 458
Book Description
The Routledge Handbook of Translation and Pragmatics provides an overview of key concepts and theory in pragmatics, charts developments in the disciplinary relationship between translation studies and pragmatics, and showcases applications of pragmatics-inspired research in a wide range of translation, spoken and signed language interpreting activities. Bringing together 22 authoritative chapters by leading scholars, this reference work is divided into three sections: Influences and Intersections, Methodological Issues, and Applications. Contributions focus on features of linguistic pragmatics and their analysis in authentic and experimental data relating to a wide range of translation and interpreting activities, including: news, scientific, literary and audiovisual translation, translation in online social media, healthcare interpreting and audio description for the theatre. It also encompasses contributions on issues beyond the level of the text that include the study of interpersonal relationships in practitioner networks and the development of pragmatic competence in interpreter training. Each chapter includes many practical illustrative examples and a list of recommended reading. Fundamental reading for students and academics in translation and interpreting studies, this is also an essential resource for those working in the related fields of linguistics, communication and intercultural studies.
Author: Michael Richter
Author: Michael Richter
Author: Michael Richter
Author: Antti Oulasvirta
Author: Shalom Lappin
Author: Jacob Mey
Author: Mark Wilde
Author: Claude E Shannon
Author: Robert B. Ash
Author: Joanne Quinn
Author: Rebecca Tipton