Uto-Aztecan Lexicostatistics 2.0(1)
Abstract
Uto-Aztecan subgrouping has long been the subject of debate. We aim to establish a more up-to-date foundation for Uto-Aztecan lexicostatistics by reexamining Wick Miller’s influential lexicostatistic classification. Miller’s cognate density measure yields a symmetrical table based on the number of cognates each language pairing shares on a modified Swadesh-100 wordlist. However, no language has cognate sets for all word meanings (glosses) on that list. We offer an improved metric, relative cognate density, for analyzing an updated database of Kenneth Hill’s Uto-Aztecan cognate sets. We generate an asymmetrical table dividing the number of pairwise shared cognates (“match counts”) by the number of cognate sets each comparison language actually has available. Employing more standard distance-based clustering algorithms (UPGMA, Neighbor Joining, and NeighborNet), our results align with Miller’s in some respects (e.g., in identifying a Southern-Uto-Aztecan branch but not a Northern-Uto-Aztecan one) but differ in others (e.g., in not identifying “Sonoran”).
Repository Citation
Haugen, Jason D., Michael Everdell, and Benjamin A. Kuperman. 2020. "Uto-Aztecan Lexicostatistics 2.01." International Journal of American Linguistics 86(1): 1-30.
Publisher
University of Chicago Press
Publication Date
1-1-2020
Publication Title
International Journal of American Linguistics
Department
Anthropology
Document Type
Article
DOI
https://dx.doi.org/10.1086/705752
Keywords
Uto-Aztecan, Lexicostatistics, Relative cognate density, Quantitative approaches to linguistic phylogeny, Historical linguistics
Language
English
Format
text