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  Subgrouping in a ‘dialect continuum’: A Bayesian phylogenetic analysis of the Mixtecan language family

Auderset, S., Greenhill, S. J., DiCanio, C. T., & Campbell, E. W. (2023). Subgrouping in a ‘dialect continuum’: A Bayesian phylogenetic analysis of the Mixtecan language family. Journal of Language Evolution, 8(1): lzad004, pp. 33 -63. doi:10.1093/jole/lzad004.

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Auderset_Subgrouping_JLangEvo_2023.pdf (Publisher version), 3MB
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 Creators:
Auderset, Sandra1, Author                 
Greenhill, Simon J.2, Author                 
DiCanio, Christian T, Author
Campbell, Eric W, Author
Affiliations:
1Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_3237541              
2COOL, Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_3384318              

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 Abstract: Subgrouping language varieties within dialect continua poses challenges for the application of the comparative method of historical linguistics, and similar claims have been made for the use of Bayesian phylogenetic methods. In this article, we present the first Bayesian phylogenetic analysis of the Mixtecan language family of southern Mexico and show that the method produces valuable results and new insights with respect to subgrouping beyond what the comparative method and dialect geography have provided. Our findings reveal potential new subgroups that should be further investigated. We show that some unexpected groupings raise important questions for phylogenetics and historical linguistics about the effects of different methods of primary data gathering and organization that should be considered when interpreting subgrouping results.

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Language(s): eng - English
 Dates: 2023-06-02
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: DOI: 10.1093/jole/lzad004
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Title: Journal of Language Evolution
Source Genre: Journal
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Pages: - Volume / Issue: 8 (1) Sequence Number: lzad004 Start / End Page: 33 - 63 Identifier: ISSN: 2058-4571
ISSN: 2058-458X