The historical connection between the Transeurasian languages, i.e. the Japonic, Koreanic, Tungusic, Mongolic, and Turkic languages, is among the most disputed issues of historical linguistics. Here, we will combine the power of classical historical-comparative linguistics and computational Bayesian phylogenetic methods to infer a phylogeny of the Transeurasian languages. To this end, we will use lexical etymologies supporting the reconstruction of proto-Transeurasian forms with meanings that belong to the Leipzig-Jakarta 200 basic vocabulary list. Our application of Bayesian phylogenetic inference to the classification of the Transeurasian languages is unprecedented. In addition to the methodological implications for Bayesian inference app...
A polyphyletic understanding of Asian linguistic diversity was first propagated in 1823. Since 1901,...
Bayesian phylogenetic methods provide a set of tools to efficiently evaluate large linguistic datase...
This study aims to improve the application of computational phylogeny to language families by testin...
The historical connection between the Transeurasian languages, i.e. the Japonic, Koreanic, Tungusic,...
The historical connection between the Transeurasian languages, i.e. the Japonic, Koreanic, Tungusic,...
The Tungusic language family is comprised of languages spoken in Siberia, the Russian Far East, Nort...
Through application of the linguistic comparative method historical linguists are able to posit "pro...
Through application of the linguistic comparative method historical linguists are able to posit "pro...
Despite more than 200 years of research, the internal structure of the Turkic language family remain...
Change is coming to historical linguistics. Big, or at least “bigish data” (Gray and Watts 2017), ar...
Phylogenetic trees are a central tool for studying language evolution and have wide implications for...
Kho-Bwa, Hrusish, Mishmic, Tani, and Tshangla are language clusters that have been recurrently propo...
Phylogenetic trees are a central tool for studying language evolution and have wide implications for...
Phylogenetic trees are a central tool for studying language evolution and have wide implications for...
Kho-Bwa, Hrusish, Mishmic, Tani, and Tshangla are language clusters that have been recurrently propo...
A polyphyletic understanding of Asian linguistic diversity was first propagated in 1823. Since 1901,...
Bayesian phylogenetic methods provide a set of tools to efficiently evaluate large linguistic datase...
This study aims to improve the application of computational phylogeny to language families by testin...
The historical connection between the Transeurasian languages, i.e. the Japonic, Koreanic, Tungusic,...
The historical connection between the Transeurasian languages, i.e. the Japonic, Koreanic, Tungusic,...
The Tungusic language family is comprised of languages spoken in Siberia, the Russian Far East, Nort...
Through application of the linguistic comparative method historical linguists are able to posit "pro...
Through application of the linguistic comparative method historical linguists are able to posit "pro...
Despite more than 200 years of research, the internal structure of the Turkic language family remain...
Change is coming to historical linguistics. Big, or at least “bigish data” (Gray and Watts 2017), ar...
Phylogenetic trees are a central tool for studying language evolution and have wide implications for...
Kho-Bwa, Hrusish, Mishmic, Tani, and Tshangla are language clusters that have been recurrently propo...
Phylogenetic trees are a central tool for studying language evolution and have wide implications for...
Phylogenetic trees are a central tool for studying language evolution and have wide implications for...
Kho-Bwa, Hrusish, Mishmic, Tani, and Tshangla are language clusters that have been recurrently propo...
A polyphyletic understanding of Asian linguistic diversity was first propagated in 1823. Since 1901,...
Bayesian phylogenetic methods provide a set of tools to efficiently evaluate large linguistic datase...
This study aims to improve the application of computational phylogeny to language families by testin...