CLDFBench: Give Your Cross-Linguistic Data a Lift

Forkel, Robert; List, Johann‐Mattis

doi:10.17613/8t0e-w639

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Data are stored and distributed in the Cross-Linguistic Data Format (CLDF; [ 60 ]), which is a flat structured database stored in comma-separated value (CSV) files ( Table 1 ), and built with the affiliated tools CLDFbench [ 61 ]. This format is easily importable into common analysis tools like Microsoft Excel, and data analysis languages like R or Python.…”

Section: The Kinbank Databasementioning

confidence: 99%

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Kinbank: A global database of kinship terminology

Passmore,

Barth,

Greenhill

et al. 2023

PLoS ONE

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For a single species, human kinship organization is both remarkably diverse and strikingly organized. Kinship terminology is the structured vocabulary used to classify, refer to, and address relatives and family. Diversity in kinship terminology has been analyzed by anthropologists for over 150 years, although recurrent patterning across cultures remains incompletely explained. Despite the wealth of kinship data in the anthropological record, comparative studies of kinship terminology are hindered by data accessibility. Here we present Kinbank, a new database of 210,903 kinterms from a global sample of 1,229 spoken languages. Using open-access and transparent data provenance, Kinbank offers an extensible resource for kinship terminology, enabling researchers to explore the rich diversity of human family organization and to test longstanding hypotheses about the origins and drivers of recurrent patterns. We illustrate our contribution with two examples. We demonstrate strong gender bias in the phonological structure of parent terms across 1,022 languages, and we show that there is no evidence for a coevolutionary relationship between cross-cousin marriage and bifurcate-merging terminology in Bantu languages. Analysing kinship data is notoriously challenging; Kinbank aims to eliminate data accessibility issues from that challenge and provide a platform to build an interdisciplinary understanding of kinship.

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Section: The Kinbank Databasementioning

confidence: 99%

“…the affiliated tools CLDFbench [61]. This format is easily importable into common analysis tools like Microsoft Excel, and data analysis languages like R or Python.…”

Section: Plos Onementioning

confidence: 99%

Kinbank: A global database of kinship terminology

Passmore,

Barth,

Greenhill

et al. 2023

PLoS ONE

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“…This ensures reproducibility of our study as well as the linking of the data with other tools in linguistics, such as Glottolog (Hammarström et al 2021) and Concepticon (List et al 2021). After compiling the raw data, we converted the data into CLDF using CLDFBench (Forkel and List 2020). In the next step, we created automatically tagged cognates and alignments using LingPy (List and Forkel 2021) that were then manually corrected using the EDICTOR tool .…”

Section: Datamentioning

confidence: 99%

A phylolinguistic classification of the Quechua language family

Blum¹,

Barrientos²,

Ingunza³

et al. 2023

Preprint

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We present a computational phylogeny for the internal classification of the Quechua language family. Based on a concept list of 150 lexical items, we manually analyzed data from 39 contemporaneous Quechua varieties for cognacy and computed a family tree using Bayesian phylogenetic methods. The results provide further evidence for the classification of individual varieties and compares the results to the existing hypotheses for the evolution of the Quechua language family.

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Uralic typology in the light of a new comprehensive dataset

Norvik

Jing

Dunn

et al. 2022

JUL

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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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CLDFBench: Give Your Cross-Linguistic Data a Lift

Cited by 4 publications

References 13 publications

Kinbank: A global database of kinship terminology

Kinbank: A global database of kinship terminology

A phylolinguistic classification of the Quechua language family

Uralic typology in the light of a new comprehensive dataset

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