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In this, his magnum opus, distinguished linguist Zellig Harris presents a formal theory of language structure, in which syntax is characterized as an orderly system of departures from random combinations of sounds, words, and indeed of all elements of language.
“Information Theory and Language” is a collection of 12 articles that appeared recently in Entropy as part of a Special Issue of the same title. These contributions represent state-of-the-art interdisciplinary research at the interface of information theory and language studies. They concern in particular: • Applications of information theoretic concepts such as Shannon and Rényi entropies, mutual information, and rate–distortion curves to the research of natural languages; • Mathematical work in information theory inspired by natural language phenomena, such as deriving moments of subword complexity or proving continuity of mutual information; • Empirical and theoretical investigation of quantitative laws of natural language such as Zipf’s law, Herdan’s law, and Menzerath–Altmann’s law; • Empirical and theoretical investigations of statistical language models, including recently developed neural language models, their entropies, and other parameters; • Standardizing language resources for statistical investigation of natural language; • Other topics concerning semantics, syntax, and critical phenomena. Whereas the traditional divide between probabilistic and formal approaches to human language, cultivated in the disjoint scholarships of natural sciences and humanities, has been blurred in recent years, this book can contribute to pointing out potential areas of future research cross-fertilization.
Along with coverage of phonics, phonology, morphology, semantics and syntax, the text covers more unconventional topics including language and culture, and language evolution."--BOOK JACKET.
Luciano Floridi presents an innovative approach to philosophy, conceived as conceptual design. He explores how we make, transform, refine, and improve the objects of our knowledge. His starting point is that reality provides the data, to be understood as constraining affordances, and we transform them into information, like semantic engines. Such transformation or repurposing is not equivalent to portraying, or picturing, or photographing, or photocopying anything. It is more like cooking: the dish does not represent the ingredients, it uses them to make something else out of them, yet the reality of the dish and its properties hugely depend on the reality and the properties of the ingredients. Models are not representations understood as pictures, but interpretations understood as data elaborations, of systems. Thus, he articulates and defends the thesis that knowledge is design and philosophy is the ultimate form of conceptual design. Although entirely independent of Floridi's previous books, The Philosophy of Information (OUP 2011) and The Ethics of Information (OUP 2013), The Logic of Information both complements the existing volumes and presents new work on the foundations of the philosophy of information.
The book presents a new science of semiotic linguistics. The goal of semiotic linguistics is to discover what characterizes language as an intermediary between the mind and reality so that language creates the picture of reality we perceive. The cornerstone of semiotic linguistics is the discovery and resolution of language antinomies ­-contradictions between two apparently reasonable principles or laws. Language antinomies constitute the essence of language, and hence must be studied from both linguistic and philosophical points of view. The basic language antinomy which underlies all other antinomies is the antinomy between meaning and information. Both generative and classical linguistic theories are unaware of the need to distinguish between meaning and information. By confounding these notions they are unable to discover language antinomies and confine their research to naturalistic description of superficial language phenomena rather than the quest for the essence of language.(Series A)
When studying linguistics, it is commonplace to find that information packaged into a single word in one language is expressed by several independent words in another language. This observation raises an important question: how can linguistics research represent what is the same among languages while accounting for the obvious differences between them? In this work, two linguists-Farrell Ackerman and Gert Webelhuth-from different theoretical paradigms develop a new general theory of natural language predicates. This theory is capable of addressing a broad range of issues concerning (complex) predicates, many of which remain unresolved in previous theoretical proposals. The book focuses on cross-linguistically recurring patterns of predicate formation. It also provides a detailed implementation of Ackerman and Webelhuth's theory for German tense-aspect, passive, causative, and verb-particle predicates. In addition, a discussion of the extension of these representative analyses to the same predicate construction in other languages is presented. Beyond providing a formalism for the analysis of language-particular predicates, the authors demonstrate how the basic theoretical mechanism they develop can be employed to explain universal tendencies of predicate formation.
Although recent work on the theory of language, information, and automata leans heavily on some rather difficult mathematics, to understand its main ideas we need only know simple elaborations of four commonplace principles.
The explanation of animal communication by means of concepts like information, meaning and reference is one of the central foundational issues in animal behaviour studies. This book explores these issues, revolving around questions such as: • What is the nature of information? • What theoretical roles does information play in animal communication studies? • Is it justified to employ these concepts in order to explain animal communication? • What is the relation between animal signals and human language? The book approaches the topic from a variety of disciplinary perspectives, including ethology, animal cognition, theoretical biology and evolutionary biology, as well as philosophy of biology and mind. A comprehensive introduction familiarises non-specialists with the field and leads on to chapters ranging from philosophical and theoretical analyses to case studies involving primates, birds and insects. The resulting survey of new and established concepts and methodologies will guide future empirical and theoretical research.
Introduces a formal theory of linguistic individuality, a perspective-changing framework moving the field towards more cognitively realistic methods of authorship analysis.
The general concept of information is here, for the first time, defined mathematically by adding one single axiom to the probability theory. This Mathematical Theory of Information is explored in fourteen chapters: 1. Information can be measured in different units, in anything from bits to dollars. We will here argue that any measure is acceptable if it does not violate the Law of Diminishing Information. This law is supported by two independent arguments: one derived from the Bar-Hillel ideal receiver, the other is based on Shannon's noisy channel. The entropy in the 'classical information theory' is one of the measures conforming to the Law of Diminishing Information, but it has, however, properties such as being symmetric, which makes it unsuitable for some applications. The measure reliability is found to be a universal information measure. 2. For discrete and finite signals, the Law of Diminishing Information is defined mathematically, using probability theory and matrix algebra. 3. The Law of Diminishing Information is used as an axiom to derive essential properties of information. Byron's law: there is more information in a lie than in gibberish. Preservation: no information is lost in a reversible channel. Etc. The Mathematical Theory of Information supports colligation, i. e. the property to bind facts together making 'two plus two greater than four'. Colligation is a must when the information carries knowledge, or is a base for decisions. In such cases, reliability is always a useful information measure. Entropy does not allow colligation.