University of Oulu

Norvik, M., Jing, Y., Dunn, M., Forkel, R., Honkola, T., Klumpp, G., Kowalik, R., Metslang, H., Pajusalu, K., Piha, M., Saar, E., Saarinen, S., & Vesakoski, O. (2022). Uralic typology in the light of a new comprehensive dataset. Journal of Uralic Linguistics, 1(1), 4–42.

Uralic typology in the light of a new comprehensive dataset

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Author: Norvik, Miina1,2,3; Jing, Yingqi1,2; Dunn, Michael1;
Organizations: 1Uppsala University, Sweden
2University of Turku, Finland
3University of Tartu, Estonia
4Max Planck Institute for Evolutionary Anthropology, Germany
5University of Stockholm, Sweden
6University of Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.6 MB)
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Language: English
Published: John Benjamins Publishing Company, 2022
Publish Date: 2023-11-08


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.

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Series: Journal of Uralic linguistics
ISSN: 2772-3720
ISSN-E: 2772-3739
ISSN-L: 2772-3720
Volume: 1
Issue: 1
Pages: 4 - 42
DOI: 10.1075/jul.00002.nor
Type of Publication: A1 Journal article – refereed
Field of Science: 6121 Languages
Funding: Kipot ja Kielet research project (2018–2020) led by Päivi Onkamo and Outi Vesakoski; several Kone Foundation projects: UraLEX (2014–2016) led by Unni-Päivä Leino; SumuraSyyni (2013–2016) and AikaSyyni (2017–2021) led by Outi Vesakoski: OV, TH and YJ were funded by AikaSyyni. Research was also supported by the Turku University Foundation (Terhi Honkola) as well as Collegium for Transdisciplinary Studies in Archeology, Genetics and Linguistics, University of Tartu (2018–), and partly by the Estonian Research Council (grants No. PUTJD926, PRG341, PRG1290).
Copyright information: © John Benjamins Publishing Company Available under the CC BY-NC 4.0 license.