Abstract
This paper describes the use of cellular automata to model dialect feature diffusion as the adaptive aspect of the complex system of speech. We show how a feature, once established, can spread across an area, and how the distribution of a dialect feature as it stands in Linguistic Atlas data could either spread or diminish. Throughout hundreds of iterations, we can watch regional and social distribution patterns emerge as a consequence of update rules. We validate patterns with respect to the linguistic distributions known to occur in the Linguistic Atlas Project.
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Kretzschmar, W.A., Juuso, I. (2014). Cellular Automata for Modeling Language Change. In: Wąs, J., Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2014. Lecture Notes in Computer Science, vol 8751. Springer, Cham. https://doi.org/10.1007/978-3-319-11520-7_35
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DOI: https://doi.org/10.1007/978-3-319-11520-7_35
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11519-1
Online ISBN: 978-3-319-11520-7
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