Uralic typology in the light of a new comprehensive dataset

This paper presents the Uralic Areal Typology Online (UraTyp 1.0), a typological dataset of 35 Uralic languages and a total of 360 features, mainly covering the levels of morphology, syntax, and phonology. The features belong to two different datasets: 195 features’ definitions originate from the Gr...

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Bibliographic Details
Published in:Journal of Uralic Linguistics
Main Authors: Norvik Miina, Vesakoski Outi, Metslang Helle, Kowalik Richard, Honkola Terhi, Klumpp Gerson, Piha Minerva, Pajusalu Karl, Saarinen Sirkka, Dunn Michael, Yingqi JIng, Saar Eva, Forkel Robert
Other Authors: suomen kieli ja suomalais-ugrilainen kielentutkimus, Department of Finnish and Finno-Ugric Languages, 2602110
Language:English
Published: John Benjamins Publishing Company 2022
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Online Access:https://www.utupub.fi/handle/10024/173620
https://doi.org/10.1075/jul.00002.nor
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Summary:This paper presents the Uralic Areal Typology Online (UraTyp 1.0), a typological dataset of 35 Uralic languages and a total of 360 features, mainly covering the levels of morphology, syntax, and phonology. The features belong to two different datasets: 195 features’ definitions originate from the Grambank (GB) database, developed for comparison of world language typology, whereas 165 features (UT) have been designed specifically to describe the typological variation within the Uralic language family. We present a series of analyses of the dataset demonstrating its scope and possibilities. The complete data set correctly identifies the main Uralic subgroups in a Principal Components Analysis, whereas GB data alone is insufficiently granular to detect this family-internal structure. Similar analyses limited to various typological subdomains also give variable results. A model-based admixture analysis identifies four distinct areas of historical interaction: Saami, Finnic, the Volga area and Ob-Ugric. Keywords: Uralic languages, typology, areal linguistics, syntax, morphology, phonology, quantitative linguistic