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Articles are inversely associated with inflectional case in Indo-European

Published online by Cambridge University Press:  27 August 2026

David Goldstein*
Affiliation:
Department of Linguistics, University of California Los Angeles , Los Angeles, USA Center for the Human Past, Uppsala, Sweden Swedish Collegium for Advanced Study, Uppsala, Sweden
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Abstract

The relationship between inflectional case marking and the emergence of definite and indefinite articles has long been hypothesized but seldom examined quantitatively. This study presents a large-scale statistical analysis of the relationship across ninety-four Indo-European languages. Bayesian logistic regression models account for phylogenetic and spatiotemporal autocorrelation while integrating over phylogenetic uncertainty. The results establish a robust inverse association between case-inventory size and the presence of articles. Estimated probabilities indicate that smaller case inventories are associated with higher probabilities of definite articles. A similar association holds for indefinite articles. The posterior median predicted probability exceeds 0.5 at four cases for definite articles and between three and four cases for indefinite articles. These thresholds correspond to reduced case inventories composed primarily of grammatical cases. Even after accounting for case-inventory size, the presence of a definite article is associated with a higher probability of an indefinite article. The analysis shows that the observed association is compatible with direct, mediated, and common-cause accounts and does not uniquely identify a causal pathway. These findings sharpen the empirical basis of the debate and identify the causal and evolutionary questions that remain open.

Information

Type
General Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of the Linguistic Society of America
Figure 0

Figure 1. Case inventories as a function of time, which is measured in millennia before the year 2000 (kya). Jitter has been added to the number of cases. Contemporary languages are assigned an age of 0, whereas the ages of premodern languages are estimated from their earliest textual attestation. Data from earlier languages are sparse but suggest higher case inventories. A generalized additive model (GAM) is used for the smoothed trend on account of the uneven chronological distribution of the data.Figure 1. long description.

Figure 1

Figure 2. Article inventories as a function of time, measured in millennia before the year 2000 (kya). Jitter has been applied to the article data to improve visibility. Contemporary languages are assigned an age of 0, while the dates of premodern languages are based on their earliest textual attestation.Figure 2. long description.

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Figure 3. Geographic distribution of sampled languages (N = 94).Figure 3. long description.

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Table 1. Criteria for measuring case inventories.Table 1. long description.

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Table 2. English noun paradigm.Table 2. long description.

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Figure 4. The frequency distribution of case inventories. Most languages have fewer than four cases. The prominence of the six-case inventories is due primarily to Baltic and Slavic.

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Figure 5. The distribution of case inventories by clade. Most clades exhibit little variation around the median (jitter has been added to enhance the visibility of individual data points), but Indic stands out for its spread.Figure 5. long description.

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Figure 6. The geographic distribution of case inventories. Smaller case inventories preponderate in central and western Europe, whereas the languages of eastern Europe generally have more than five cases. The Indian subcontinent is characterized by a diverse range of case inventories.Figure 6. long description.

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Figure 7. The frequency distribution of definite and indefinite article inventories in Indo-European. Most languages either lack articles altogether or possess both a definite and an indefinite article. Languages with only a single article are comparatively rare, particularly those with only an indefinite article.

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Figure 8. The geographic and phylogenetic distribution of article inventories. Languages without articles are the most widely dispersed. Languages with both articles are concentrated in central and western Europe. Systems with only a definite article are scattered across several regions, whereas those with only an indefinite article are restricted to a small number of Iranian languages.Figure 8. long description.

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Figure 9. Distribution of case-inventory sizes by article system. Each panel shows the frequency of languages with a given number of cases within an article-inventory type. The dashed red line indicates the median.Figure 9. long description.

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Figure 10. Maximum clade credibility tree of the A3 data set and model of Chang et al. 2015a with observed article inventories.Figure 10. long description.

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Table 3. Summary of variables.Table 3. long description.

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Table 4. Main parameters of the logistic regression models.Table 4. long description.

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Figure 11. Posterior distributions of the regression coefficients. Points denote posterior medians, and horizontal bars show 50% and 89% highest posterior density intervals (HPDIs) on the log-odds scale. The dashed vertical line indicates zero (no effect). All 89% HPDIs exclude zero.Figure 11. long description.

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Figure 12. Posterior predicted probability of a definite article as a function of nominal case-inventory size under the main model. Each violin summarizes the posterior distribution of predicted probabilities for a given inventory size, evaluated using phylogenetic and spatiotemporal latent effects averaged across the languages in the sample. Superimposed boxplots and points indicate the interquartile range and median. Predicted probabilities increase as case inventories decrease, reflecting the monotonic specification of the case effect, with the median exceeding 0.5 at four cases.Figure 12. long description.

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Figure 13. Posterior predicted probability of an indefinite article as a function of nominal case-inventory size, conditional on the presence of a definite article. Each violin summarizes the posterior distribution of predicted probabilities for a given inventory size, evaluated using phylogenetic and spatiotemporal latent effects averaged across the languages in the sample. Boxplots and points indicate the interquartile range and median. Predicted probabilities increase as inventories decrease, reflecting the monotonic specification of the case effect, with the median exceeding 0.5 at approximately three to four cases. Languages lacking a definite article fall outside the scope of these predictions. Since the model estimates a positive association between definite and indefinite articles, predicted probabilities for languages without a definite article are lower than those shown here. Marginal predictions that average over definite-article status are shown in Figure S1 of the supplementary materials.Figure 13. long description.

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Figure 14. Schematic representation of a direct-causation scenario in which case loss increases the likelihood of article emergence, with definite articles preceding indefinite articles.

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Figure 15. Schematic representation of a mediated-causation scenario in which case loss results in the expansion of adpositional marking, which in turn facilitates the emergence of articles.

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Figure 16. Schematic representation of a common-cause scenario in which case loss and article emergence are not causally related but arise from a shared underlying factor. Identifying and controlling for such confounding influences is a central challenge in analyzing their association.

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