Phylogenetic Linguistics
Computational phylogenetic linguistics borrows the statistical machinery developed in evolutionary biology — Bayesian inference, maximum likelihood, and distance-based network methods — and applies it to coded linguistic data, chiefly cognate-judged basic vocabulary, to infer language family trees and estimate when branches diverged. By treating linguistic characters like the molecular characters in a gene alignment and modelling their change probabilistically along a tree, the approach produces classifications with explicit measures of uncertainty and, when calibrated, dated phylogenies. Its best-known applications are the Gray and Atkinson and Bouckaert et al. analyses of Indo-European origins.
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- Gray, R. D., & Atkinson, Q. D. (2003). Language-tree divergence times support the Anatolian theory of Indo-European origin. Nature, 426(6965), 435–439. · DOI 10.1038/nature02029
- Bouckaert, R., Lemey, P., Dunn, M., Greenhill, S. J., Alekseyenko, A. V., Drummond, A. J., Gray, R. D., Suchard, M. A., & Atkinson, Q. D. (2012). Mapping the origins and expansion of the Indo-European language family. Science, 337(6097), 957–960. · DOI 10.1126/science.1219669
- Dunn, M. (2014). Language phylogenies. In C. Bowern & B. Evans (Eds.), The Routledge Handbook of Historical Linguistics (pp. 190–211). Routledge. · ISBN 9780415527897
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