Linguistic Attractors

The interdisciplinary linguistic attractor model portrays language processing as linked sequences of fractal sets, and examines the changing dynamics of such sets for individuals as well as the speech community they comprise. Its motivation stems from human anatomic constraints and several artificial neural network approaches. It uses general computation theory to: (1) demonstrate the capacity of Cantor-like fractal sets to perform as Turing Machines; (2) better distinguish between models that simply match outputs (emulation) and models that match both outputs and internal dynamics (simulation); and (3) relate language processing to essential computation steps executed in parallel. Measure and information theory highlight the key variables driving linguistic dynamics, while catastrophe and game theory help predict the possible topologies of language change.It introduces techniques to isolate and measure attractors, and to interpret their stability and relative content within a system. Important results include the capability to distinguish the sequence of related sound changes, and to make point-to-point comparisons of different texts using common metrics. Other techniques allow quantifiable ambiguity landscapes illustrating the forces that propel different languages in different directions.

The interdisciplinary linguistic attractor model portrays language processing as linked sequences of fractal sets, and examines the changing dynamics of such sets for individuals as well as the speech community they comprise. Its motivation stems from human anatomic constraints and several artificial neural network approaches. It uses general computation theory to: (1) demonstrate the capacity of Cantor-like fractal sets to perform as Turing Machines; (2) better distinguish between models that simply match outputs ("emulation") and models that match both outputs and internal dynamics ("simulation"); and (3) relate language processing to essential computation steps executed in parallel. Measure and information theory highlight the key variables driving linguistic dynamics, while catastrophe and game theory help predict the possible topologies of language change.It introduces techniques to isolate and measure attractors, and to interpret their stability and relative content within a system. Important results include the capability to distinguish the sequence of related sound changes, and to make point-to-point comparisons of different texts using common metrics. Other techniques allow quantifiable ambiguity landscapes illustrating the forces that propel different languages in different directions.

The goal of this eBook is to shed light on the non-linguistic causes of language diversity, and in particular, to explore the possibility that some aspects of the structure of languages may result from an adaptation to the natural and/or human-made environment. Traditionally, language diversity has been claimed to result from random, internally-motivated changes in language structure. However, ongoing research suggests instead that different factors that are external to language can promote language change and ultimately account for aspects of language diversity, specifically features of the social and physical environments. The contributions in this eBook discuss whether some aspects of languages are an adaptation to ecological, social, or even technological niches.

Created as intercultural and interdisciplinary, conferences of the series “Cognitive Modeling in Linguistics” have been successfully held since 1998. Over the years, CML has visited a number of countries, attracting more and more scientists from all over the world and thus broadening the scope of its topics. The conference has worked out its scientific character and now it has a constant core of participants; and the term “cognitive modeling” has become a popular topic of high profile conferences in linguistics and artificial intelligence, which affirms the CML’s direction of movement. The present volume gathers the most outstanding and interesting articles from participants of the XIIIth International Conference “Cognitive Modeling in Linguistics”, whose studies will no doubt be of interest to both scientists who have tied their lives with linguistics, as well as to those people who treat it as a hobby. For information about CML conferences, please visit www.cml.msisa.ru

Proceedings of the annual meeting of the Society in v. 1-11, 1925-34. After 1934 they appear in Its Bulletin.