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Sökning: WFRF:(Greenhill J.) > (2020-2023)

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1.
  • Barbieri, Chiara, et al. (författare)
  • A global analysis of matches and mismatches between human genetic and linguistic histories
  • 2022
  • Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : NATL ACAD SCIENCES. - 0027-8424 .- 1091-6490. ; 119:47
  • Tidskriftsartikel (refereegranskat)abstract
    • Human history is written in both our genes and our languages. The extent to which our biological and linguistic histories are congruent has been the subject of considerable debate, with clear examples of both matches and mismatches. To disentangle the patterns of demographic and cultural transmission, we need a global systematic assessment of matches and mismatches. Here, we assemble a genomic database (GeLaTo, or Genes and Languages Together) specifically curated to investigate genetic and linguistic diversity worldwide. We find that most populations in GeLaTo that speak languages of the same language family (i.e., that descend from the same ancestor language) are also genetically highly similar. However, we also identify nearly 20% mismatches in populations genetically close to linguistically unrelated groups. These mismatches, which occur within the time depth of known linguistic relatedness up to about 10,000 y, are scattered around the world, suggesting that they are a regular outcome in human history. Most mismatches result from populations shifting to the language of a neighboring population that is genetically different because of independent demographic histories. In line with the regularity of such shifts, we find that only half of the language families in GeLaTo are genetically more cohesive than expected under spatial autocorrelations. Moreover, the genetic and linguistic divergence times of population pairs match only rarely, with Indo-European standing out as the family with most matches in our sample. Together, our database and findings pave the way for systematically disentangling demographic and cultural history and for quantifying processes of shifts in language and social identities on a global scale.
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2.
  • Heggarty, Paul, et al. (författare)
  • Language trees with sampled ancestors support a hybrid model for the origin of Indo-European languages
  • 2023
  • Ingår i: Science. - 0036-8075 .- 1095-9203. ; 381:6656
  • Tidskriftsartikel (refereegranskat)abstract
    • Languages of the Indo-European family are spoken by almost half of the world’s population, but their origins and patterns of spread are disputed. Heggarty et al. present a database of 109 modern and 52 time-calibrated historical Indo-European languages, which they analyzed with models of Bayesian phylogenetic inference. Their results suggest an emergence of Indo-European languages around 8000 years before present. This is a deeper root date than previously thought, and it fits with an initial origin south of the Caucasus followed by a branch northward into the Steppe region. These findings lead to a “hybrid hypothesis” that reconciles current linguistic and ancient DNA evidence from both the eastern Fertile Crescent (as a primary source) and the steppe (as a secondary homeland).
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3.
  • Rzymski, Christoph, et al. (författare)
  • The Database of Cross-Linguistic Colexifications, reproducible analysis of cross-linguistic polysemies
  • 2020
  • Ingår i: Scientific Data. - : Springer Science and Business Media LLC. - 2052-4463. ; 7:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Advances in computer-assisted linguistic research have been greatly influential in reshaping linguistic research. With the increasing availability of interconnected datasets created and curated by researchers, more and more interwoven questions can now be investigated. Such advances, however, are bringing high requirements in terms of rigorousness for preparing and curating datasets. Here we present CLICS, a Database of Cross-Linguistic Colexifications (CLICS). CLICS tackles interconnected interdisciplinary research questions about the colexification of words across semantic categories in the world's languages, and show-cases best practices for preparing data for cross-linguistic research. This is done by addressing shortcomings of an earlier version of the database, CLICS2, and by supplying an updated version with CLICS3, which massively increases the size and scope of the project. We provide tools and guidelines for this purpose and discuss insights resulting from organizing student tasks for database updates.
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