Bayesian phylogenetics illuminate shallower relationships among Trans-Himalayan languages in the Tibet-Arunachal area

Dados Bibliográficos

ID21557597
AutoresMei-Shin Wu (0000-0001-6544-1163, Max Planck Institute for Evolutionary Anthropology), Timotheus A Bodt (0000-0002-2024-0488, SOAS University of London), Tiago Tresoldi (0000-0002-2863-1467, Uppsala University)
Ano2022
Volume45
Fascículo2
Páginas171-210
Data de publicação2022-11-04
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoLinguistics of the Tibeto-Burman Area (JOURNAL)
Identificadores do periódicoISSN: 0731-3500 • E-ISSN: 2214-5907
EditoraJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/ltba.21019.wu
OpenAlexW4308198443
IdiomaEN
Citações recebidas7
Referências citadas77

Kho-Bwa, Hrusish, Mishmic, Tani, and Tshangla are language clusters that have been recurrently proposed as subgroups of the Trans-Himalayan (also known as Tibeto-Burman and Sino-Tibetan) language family. Nonetheless, their internal classification, as well as the relation with each other and with other linguistic groups in the family, is hitherto unresolved. We use lexical data on these groups and dated phylogenies to investigate such internal classifications. We base our examination on previous research into the language family in the Tibet-Arunachal area, and follow a computer-assisted approach of language comparison to perform Bayesian phylolinguistic analysis. As earlier phylogenetic studies on this family included little data related to this geographic area, we took a subset of the best available dataset and extended it with vocabularies for the Kho-Bwa and Hrusish clusters, also including one Mishmic, two Tani, two Tshangla, and five East Bodish languages to cover the major languages and linguistic subgroups neighboring these clusters. Our results shed light on the internal and external classification of the Kho-Bwa, Hrusish and Bodish languages, and allow us to share valuable experience on the extent to which similar approaches can be applied to the phylogenetic analysis of the Trans-Himalayan language family

Bayesian probability · Biology · Data mining · Geography · Language family · Linguistics · Phylogenetic tree · Phylogenetics · Computer Science · Language and cultural evolution · Linguistic Variation and Morphology · Natural Language Processing Techniques · Artificial Intelligence