Publication:

Curating global datasets of structural linguistic features for independence

Date

Date

Date
2025
Journal Article
Published version

Citations

Citation copied

Graff, A., Chousou-Polydouri, N., Inman, D., SkirgÄrd, H., Lischka, M., Zakharko, T., Barbieri, C., & Bickel, B. (2025). Curating global datasets of structural linguistic features for independence. Scientific Data, 12(1), 106. https://doi.org/10.1038/s41597-024-04319-4

Abstract

Abstract

Abstract

The increasing availability of cross-linguistic databases dedicated to documenting morphosyntactic, lexical and phonological features has proliferated the use of such data for studies on language evolution and human history. However, most of these databases were not designed to ensure independence of features, such that it is not valid to jointly use all their features in large-scale statistical analyses assuming independence of inputs. Here, we curate published data from five large linguistic databases to generate two global-scale cr

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Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
12

Number

Number

Number
1

Page range/Item number

Page range/Item number

Page range/Item number
106

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2025-01-18

Date available

Date available

Date available
2025-01-22

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2052-4463

OA Status

OA Status

OA Status
Gold

Free Access at

Free Access at

Free Access at
DOI

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PubMed ID

PubMed ID

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Downloads

14 since deposited on 2025-01-22
11last week
Acq. date: 2025-11-13

Views

132 since deposited on 2025-01-22
130last week
Acq. date: 2025-11-13

Citations

Citation copied

Graff, A., Chousou-Polydouri, N., Inman, D., SkirgÄrd, H., Lischka, M., Zakharko, T., Barbieri, C., & Bickel, B. (2025). Curating global datasets of structural linguistic features for independence. Scientific Data, 12(1), 106. https://doi.org/10.1038/s41597-024-04319-4

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