UC Berkeley UC Berkeley Previously Published Works
UC Berkeley UC Berkeley Previously Published Works Title A Bayesian Phylogenetic Classification of Tupí-Guaraní Permalink https://escholarship.org/uc/item/1331v899 Journal LIAMES, 15(2) Authors Michael, Lev David Chousou-Polydouri, Natalia Bartolomei, Keith et al. Publication Date 2015 Peer reviewed eScholarship.org Powered by the California Digital Library University of California A Bayesian Phylogenetic Classification of Tup´ı-Guaran´ı Lev Michael, Natalia Chousou-Polydouri, Keith Bartolomei Erin Donnelly, Vivian Wauters, S´ergioMeira, Zachary O'Hagan∗ Abstract This paper presents an internal classification of Tup´ı-Guaran´ıbased on a Bayesian phylogenetic analysis of lexical data from 30 Tup´ı-Guaran´ılanguages and 2 non-Tup´ı- Guaran´ıTupian languages, Awet´ıand Maw´e.A Bayesian phylogenetic analysis using a generalized binary cognate gain and loss model was carried out on a character ta- ble based on the binary coding of cognate sets, which were formed with attention to semantic shift. The classification shows greater internal structure than previous ones, but is congruent with them in several ways.1 1 Introduction This paper proposes a new classification of the Tup´ı-Guaran´ı(TG) language family based on the application of computational phylogenetic methods to lexical data from 30 TG languages ∗Affiliations for the authors of this paper are: Chousou-Polydouri, Donnelly, Michael, O'Hagan| University of California, Berkeley; Meira|Museu Paraense Em´ılio Goeldi; Bartolomei, Wauters|Independent Scholar. 1We are indebted to Sebastian Drude, Fran¸coiseRose, Eva-Maria R¨oBler, and Rosa Vallejos, who kindly shared unpublished lexical data from Awet´ı,Emerillon, Ach´e,and Kokama-Kokamilla, respectively.
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