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Estimating areal effects in typology

A case study of African phoneme inventories

Bibliographic Data

ID21714465
AuthorsMatías Guzmán Naranjo (0000-0003-1136-6836, Albert-Ludwigs-Universität Freiburg , Breisgau , Germany, corresponding author), Miri Mertner (Eberhard Karls Universität Tübingen , Tubingen , Baden-Württemberg , Germany)
Year2023
Volume27
Issue2
Pages455-480
Publication date2023-07-26
Open AccessYes
TypeARTICLE
VenueLinguistic Typology (JOURNAL)
Journal identifiersISSN: 1430-0532 • E-ISSN: 1613-415X
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/lingty-2022-0037
OpenAlexW4313449203
LanguageEN
Citations received8
References cited40

In this paper, we combine several statistical techniques (multivariate probit models, Gaussian processes, and phylogenetic regression) into a new approach for exploring the areal patterns associated with the presence and absence of typological features. This model allows us to estimate and control for areal and genetic effects, the correlations between features, and their expected frequency of occurrence in the data. We use this model to explore the distribution of consonants in African languages, inferring several linguistic areas which have been proposed in the literature. Our results suggest that the combination of these methods is a promising new way of approaching language contact

Archaeology · Econometrics · Geography · Machine learning · Multivariate probit model · Multivariate statistics · Natural language processing · Probit model · Regression · Statistics · Typology · Animal Vocal Communication and Behavior · Computer Science · Fractal and DNA sequence analysis · Language and cultural evolution · Mathematics · Artificial Intelligence

  • Authors’ response to “Replication and methodological robustness in quantitative typology”

    Open Access•Laura Becker, Matías Guzmán Naranjo•Linguistic Typology•2025

  • Commentary

    Open Access•Harald Hammarström•Linguistic Typology•2025

  • Replication and methodological robustness in quantitative typology

    Open Access•Laura Becker, Matías Guzmán Naranjo•Linguistic Typology•2025

  • Spatial effects with missing data

    Open Access•Matías Guzmán Naranjo, Miri Mertner et al.•Open Linguistics•2024

  • The over-representation of phonological features in basic vocabulary doesn’t replicate when controlling for spatial and phylogenetic effects

    Open Access•Fred Blum, Frederic L Blum•Linguistic Typology•2026

  • Investigating environmental effects on phonology using diachronic models

    Open Access•Frederik Hartmann, Seán G Robert et al.•Evolutionary Human Sciences•2024

  • Why modelling space is hard

    Open Access•Matías Guzmán Naranjo, Laura Becker et al.•Linguistics•2025

  • Consonant lengthening marks the beginning of words across a diverse sample of languages

    Open Access•Fred Blum, Ludger Paschen et al.•Nature Human Behaviour•2024

  • Statistical Rethinking

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  • Language contact between Khoisan and Bantu languages

    Hilde Gunnink•Southern African Linguistics and…•2020

  • Statistical bias control in typology

    Open Access•Matías Guzmán Naranjo, Laura Becker•Linguistic Typology•2022

  • Areal sound change and the distributional typology of affricate richness in Eurasia

    Dmitry Nikolaev, Eitan Grossman•Studies in Language•2018

  • Bantu-Ubangi language contact and the origin of labial-velar stops in Lingombe (Bantu, C41, DRC)

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  • A Relaxed Admixture Model of Language Contact

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  • Exploring Phonological Areality in the Circum-Andean Region Using a Naive Bayes Classifier

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  • Phylogenetic Inference from Word Lists Using Weighted Alignment with Empirically Determined Weights

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Citations per year4
Citation span2024 - 2026 (3)
Highly citedNo

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