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  A Bayesian approach to the classification of Tungusic languages

Oskolskaya, S., Koile, E., & Robbeets, M. (2021). A Bayesian approach to the classification of Tungusic languages. Diachronica, 20010.osk. doi:10.1075/dia.20010.osk.

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 Creators:
Oskolskaya, Sofia1, Author              
Koile, Ezequiel2, Author              
Robbeets, Martine1, Author              
Affiliations:
1Eurasia3angle, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2301699              
2Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2074311              

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Free keywords: family time depth; language phylogeny; Bayesian phylogenetics; basic vocabulary; language classification; Tungusic languages
 Abstract: The Tungusic language family is comprised of languages spoken in Siberia, the Russian Far East, Northeast China and Xinjiang. There is a general consensus that these languages are genealogically related and descend from a common ancestral language. Nevertheless, there is considerable disagreement with regard to the internal structure of the Tungusic family and the time depth of its separation into daughter languages. 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 the recently introduced Leipzig-Jakarta-Jena list, a dataset of 254 basic vocabulary items collected for 21 Tungusic doculects. Our results are consistent with two basic classifications previously proposed in the literature, notably a Manchu-Tungusic classification, in which the break-up of Jurchenic constitutes the first split in the tree, as well as a North-South classification, which includes a Jurchenic-Nanaic and an Orochic-Ewenic branch. In addition, we obtain a time-depth for the age of Proto-Tungusic between the 8th century BC and the 12th century AD (95% highest posterior density interval). Previous classifications of Tungusic were based on both classical historical comparative linguistic and lexicostatistic approaches, but the application of Bayesian phylogenetic methods to the Tungusic languages has not so far been attempted. In contrast to previous approaches, our Bayesian analysis adds an understanding of the statistical robustness of the proposed branches and infers absolute divergence dates, allowing variation of rates of change across branches and cognate sets. In this way, our research provides a reliable quantitative basis for previous estimates based on classical historical linguistic and lexicostatistic approaches.

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Language(s): eng - English
 Dates: 2021-05-25
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1075/dia.20010.osk
Other: shh2931
 Degree: -

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Project name : Eurasia3angle
Grant ID : 646612
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Diachronica
Source Genre: Journal
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Publ. Info: Hildesheim : Olms
Pages: - Volume / Issue: - Sequence Number: 20010.osk Start / End Page: - Identifier: ISSN: 0176-4225
CoNE: https://pure.mpg.de/cone/journals/resource/110978978950584