Modelling Natural Language with Claude Shannon’s Notion of Surprisal

Modelling Natural Language with Claude Shannon’s Notion of Surprisal PDF Author: Michael Richter
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110788276
Category : Language Arts & Disciplines
Languages : en
Pages : 203

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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.

Modelling Natural Language with Claude Shannon’s Notion of Surprisal

Modelling Natural Language with Claude Shannon’s Notion of Surprisal PDF Author: Michael Richter
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110788276
Category : Language Arts & Disciplines
Languages : en
Pages : 203

Get Book Here

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.

Natural Language Processing and Cognitive Science

Natural Language Processing and Cognitive Science PDF Author: Bernadette Sharp
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501501283
Category : Technology & Engineering
Languages : en
Pages : 326

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Book Description
Peer reviewed articles from the Natural Language Processing and Cognitive Science (NLPCS) 2014 meeting in October 2014 workshop. The meeting fosters interactions among researchers and practitioners in NLP by taking a Cognitive Science perspective. Articles cover topics such as artificial intelligence, computational linguistics, psycholinguistics, cognitive psychology and language learning.

Computational Interaction

Computational Interaction PDF Author: Antti Oulasvirta
Publisher: Oxford University Press
ISBN: 0198799608
Category : Computers
Languages : en
Pages : 433

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Book Description
This book introduces a new perspective on how to design user interfaces called "Computational Interaction". This new method applies principles of computational thinking (abstraction, automation and analysis) to inform our understanding of how people interact with user interfaces.

Modelling Natural Language with Claude Shannon’s Notion of Surprisal

Modelling Natural Language with Claude Shannon’s Notion of Surprisal PDF Author: Michael Richter
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110788144
Category : Language Arts & Disciplines
Languages : en
Pages : 192

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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.

Modelling Natural Language with Claude Shannon's Notion of Surprisal

Modelling Natural Language with Claude Shannon's Notion of Surprisal PDF Author: Michael Richter
Publisher: Walter de Gruyter
ISBN: 9783110787962
Category :
Languages : en
Pages : 0

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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.

Concise Encyclopedia of Pragmatics

Concise Encyclopedia of Pragmatics PDF Author: Jacob Mey
Publisher: Pergamon
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 1344

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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

Quantum Information Theory

Quantum Information Theory PDF Author: Mark Wilde
Publisher: Cambridge University Press
ISBN: 1107034256
Category : Computers
Languages : en
Pages : 673

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Book Description
A self-contained, graduate-level textbook that develops from scratch classical results as well as advances of the past decade.

Methods of Information Geometry

Methods of Information Geometry PDF Author: Shun-ichi Amari
Publisher: American Mathematical Soc.
ISBN: 9780821843024
Category : Computers
Languages : en
Pages : 220

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Book Description
Information geometry provides the mathematical sciences with a fresh framework of analysis. This book presents a comprehensive introduction to the mathematical foundation of information geometry. It provides an overview of many areas of applications, such as statistics, linear systems, information theory, quantum mechanics, and convex analysis.

Dive Into Deep Learning

Dive Into Deep Learning PDF Author: Joanne Quinn
Publisher: Corwin Press
ISBN: 1544385404
Category : Education
Languages : en
Pages : 297

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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.

Speech & Language Processing

Speech & Language Processing PDF Author: Dan Jurafsky
Publisher: Pearson Education India
ISBN: 9788131716724
Category :
Languages : en
Pages : 912

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Book Description