Article,

Language networks: Their structure, function, and evolution

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Complexity, 15 (6): 20--26 (2010)

Abstract

Several important recent advances in various sciences (particularly biology and physics) are based on complex network analysis, which provides tools for characterising statistical properties of net- works and explaining how they may arise. This article examines the relevance of this trend for the study of human languages. We review some early e orts to build up language networks, charac- terise their properties, and show in which direction models are being developed to explain them. These insights are relevant, both for studying fundamental unsolved puzzles in cognitive science, in particular the origins and evolution of language, but also for recent data-driven statistical approaches to natural language.

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