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Regular version of the site

Article

A Bayesian approach to the classification of Tungusic languages

Diachronica. 2020. P. 1-30.
Oskolskaya S., Koile E., Robbeets M.

Here we use computational Bayesian phylogenetic methods to generate a phylogeny of Tungusic languages and estimate the time-depth of the family. Our analysis is based on a dataset of 254 basic vocabulary items collected for 21 Tungusic doculects. Our results are consistent with two previously proposed basic classifications: variants of the Manchu-Tungusic and the North-South classification. We infer a time-depth between the 8th century BC and the 12th century AD. The application of Bayesian phylogenetic methods to Tungusic languages is unprecedented and provides a reliable quantitative basis for previous estimates based on classical historical linguistic and lexicostatistic approaches.