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"Language and languages Origin."
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The nature and origin of language
This book looks at how the human brain got the capacity for language and how language then evolved. Its four parts are concerned with different views on the emergence of language, with what language is, how it evolved in the human brain, and finally how this process led to the properties of language. Part I considers the main approaches to the subject and how far language evolved culturally or genetically. Part II argues that language is a system of signs and considers how these elements first came together in the brain. Part III examines the evidence for brain mechanisms to allow the formation of signs. Part IV shows how the book's explanation of language origins and evolution is not only consistent with the complex properties of languages but provides the basis for a theory of syntax that offers insights into the learnability of language and to the nature of constructions that have defied decades of linguistic analysis, including including subject-verb inversion in questions, existential constructions, and long-distance dependencies. Denis Bouchard's outstandingly original account will interest linguists of all persuasions as well as cognitive scientists and others interested in the evolution of language.
Book
The Evolution of Language
Language, more than anything else, is what makes us human. It appears that no communication system of equivalent power exists elsewhere in the animal kingdom. Any normal human child will learn a language based on rather sparse data in the surrounding world, while even the brightest chimpanzee, exposed to the same environment, will not. Why not? How, and why, did language evolve in our species and not in others? Since Darwin's theory of evolution, questions about the origin of language have generated a rapidly-growing scientific literature, stretched across a number of disciplines, much of it directed at specialist audiences. The diversity of perspectives - from linguistics, anthropology, speech science, genetics, neuroscience and evolutionary biology - can be bewildering. Tecumseh Fitch cuts through this vast literature, bringing together its most important insights to explore one of the biggest unsolved puzzles of human history.
eBook
The Computational Nature of Language Learning and Evolution
The introduction of a mathematical and computational framework within which to analyze the interplay between language learning and language evolution.
The nature of the interplay between language learning and the evolution of a language over generational time is subtle. We can observe the learning of language by children and marvel at the phenomenon of language acquisition; the evolution of a language, however, is not so directly experienced. Language learning by children is robust and reliable, but it cannot be perfect or languages would never change—and English, for example, would not have evolved from the language of the Anglo-Saxon Chronicles. In this book Partha Niyogi introduces a framework for analyzing the precise nature of the relationship between learning by the individual and evolution of the population.
Learning is the mechanism by which language is transferred from old speakers to new. Niyogi shows that the evolution of language over time will depend upon the learning procedure—that different learning algorithms may have different evolutionary consequences. He finds that the dynamics of language evolution are typically nonlinear, with bifurcations that can be seen as the natural explanatory construct for the dramatic patterns of change observed in historical linguistics. Niyogi investigates the roles of natural selection, communicative efficiency, and learning in the origin and evolution of language—in particular, whether natural selection is necessary for the emergence of shared languages.
Over the years, historical linguists have postulated several accounts of documented language change. Additionally, biologists have postulated accounts of the evolution of communication systems in the animal world. This book creates a mathematical and computational framework within which to embed those accounts, offering a research tool to aid analysis in an area in which data is often sparse and speculation often plentiful.
eBook
How Language Began
Human language is not the same as human speech. We use gestures and signs to communicate alongside, or instead of, speaking. Yet gestures and speech are processed in the same areas of the human brain, and the study of how both have evolved is central to research on the origins of human communication. Written by one of the pioneers of the field, this is the first book to explain how speech and gesture evolved together into a system that all humans possess. Nearly all theorizing about the origins of language either ignores gesture, views it as an add-on or supposes that language began in gesture and was later replaced by speech. David McNeill challenges the popular 'gesture-first' theory that language first emerged in a gesture-only form and proposes a groundbreaking theory of the evolution of language which explains how speech and gesture became unified.
eBook
The handbook of language emergence
This authoritative handbook explores the latest integrated theory for understanding human language, offering the most inclusive text yet published on the rapidly evolving emergentist paradigm. Brings together an international team of contributors, including the most prominent advocates of linguistic emergentism Focuses on the ways in which the learning, processing, and structure of language emerge from a competing set of cognitive, communicative, and biological constraints Examines forces on widely divergent timescales, from instantaneous neurolinguistic processing to historical changes and language evolution Addresses key theoretical, empirical, and methodological issues, making this handbook the most rigorous examination of emergentist linguistic theory ever
eBook
Self-organization in the evolution of speech
Speech is the principal supporting medium of language. This book considers how spoken language first emerged. It gives an original and integrated view of the interactions between self-organization and natural selection, reformulates questions about the origins of speech, and puts forward what at first sight appears to be a startling proposal — that speech can be spontaneously generated by the coupling of evolutionarily simple neural structures connecting perception and production. It explores this hypothesis by constructing a computational system to model the effects of linking auditory and vocal motor neural nets. It demonstrates that a population of agents which used holistic and unarticulated vocalizations at the outset is inexorably led to a state in which their vocalizations have become discrete, combinatorial, and categorized in the same way by all group members. Furthermore, the simple syntactic rules that have emerged to regulate the combinations of sounds exhibit the fundamental properties of modern human speech systems.
eBook