Analogical Modeling Of Language
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Analogical Modeling of Language
Author: R. Skousen
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
1. Structuralist Versus Analogical Descriptions ONE important purpose of this book is to compare two completely dif ferent approaches to describing language. The first of these approaches, commonly called stnlctllralist, is the traditional method for describing behavior. Its methods are found in many diverse fields - from biological taxonomy to literary criticism. A structuralist description can be broadly characterized as a system of classification. The fundamental question that a structuralist description attempts to answer is how a general contextual space should be partitioned. For each context in the partition, a rule is defined. The rule either specifies the behavior of that context or (as in a taxonomy) assigns a name to that context. Structuralists have implicitly assumed that descriptions of behavior should not only be correct, but should also minimize the number of rules and permit only the simplest possible contextual specifications. It turns out that these intuitive notions can actually be derived from more fundamental statements about the uncertainty of rule systems. Traditionally, linguistic analyses have been based on the idea that a language is a system of rules. Saussure, of course, is well known as an early proponent of linguistic structuralism, as exemplified by his characterization of language as "a self-contained whole and principle of classification" (Saussure 1966:9). Yet linguistic structuralism did not originate with Saussure - nor did it end with "American structuralism".
Analogical Modeling
Author: Royal Skousen
language: en
Publisher: John Benjamins Publishing
Release Date: 2002-01-01
Analogical Modeling (AM) is an exemplar-based general theory of description that uses both neighbors and non-neighbors (under certain well-defined conditions of homogeneity) to predict language behavior. This book provides a basic introduction to AM, compares the theory with nearest-neighbor approaches, and discusses the most recent advances in the theory, including psycholinguistic evidence, applications to specific languages, the problem of categorization, and how AM relates to alternative approaches of language description (such as instance families, neural nets, connectionism, and optimality theory). The book closes with a thorough examination of the problem of the exponential explosion, an inherent difficulty in AM (and in fact all theories of language description). Quantum computing (based on quantum mechanics with its inherent simultaneity and reversibility) provides a precise and natural solution to the exponential explosion in AM. Finally, an extensive appendix provides three tutorials for running the AM computer program (available online).
Integrating Language through Analogies
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-07-09
Delving into the intricate relationship between language and analogy, Integrating Language through Analogies offers a comprehensive exploration of the various ways in which analogical thinking shapes our understanding, production, and evolution of language. Analogical representations, models, and reasoning play a crucial role in our ability to comprehend and produce language. This book delves into the mechanisms and processes underlying these phenomena, examining how analogies contribute to language acquisition, processing, and change. The book also explores the role of analogy in figurative language, such as metaphors and similes, and its significance in understanding cultural and social aspects of language use. Additionally, it investigates the historical development of analogical approaches to language, tracing their roots in philosophy, linguistics, psychology, and cognitive science. The contributions of key thinkers and scholars who have shaped our understanding of the analogical nature of language are highlighted, providing a deeper appreciation for the dynamic and evolving nature of language study. Furthermore, the book examines the implications of analogical approaches for language technology, exploring how analogical methods can be applied to tasks such as natural language processing, machine translation, and information retrieval. It discusses the challenges and opportunities in developing analogical language technologies and highlights potential future directions for research and development. Written in an engaging and accessible style, Integrating Language through Analogies is an essential resource for researchers, students, and practitioners interested in the interdisciplinary study of language and cognition. It offers a unique perspective on the nature of language, highlighting its dynamic and creative aspects, and provides a deeper understanding of the cognitive, linguistic, and cultural aspects of language use. If you like this book, write a review!