Name der Zeitschrift: Cognitive Linguistics Jahrgang: 27 Heft: 1 Seiten: 1-33.

Name der Zeitschrift: Cognitive Linguistics Jahrgang: 27 Heft: 4 Seiten: 479-491.

In this article we apply one of the key concepts in cognitive linguistics, the radial category, to inflectional morphology. We advance the Paradigm Structure Hypothesis, arguing that inflectional paradigms are radial categories with internal structure primarily motivated by semantic relationships of markedness and prototypicality. It is possible to construct an expected structure for a verbal paradigm, facilitating an empirical test for our hypothesis. Data tracking an on-going morphological change in Russian documents the distribution of conservative vs. innovative forms across the (...) cells of the verbal paradigm. A logistic regression model that takes into account the sources of variation (the frequencies of individual verbs and paradigm slots, and individual verb preferences) shows that the language change is implemented differently across the paradigm forms, confirming the expected structure. In addition to markedness and prototypicality, we investigate the impact of frequency and show that there is a good, albeit not perfect match between the expected hierarchy and frequency. We conclude that the diachronic change analyzed in this article gives evidence for the structure of paradigms modeled on the radial category. (shrink)

This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that considers an existing model of category representation, the Varying Abstraction Model (VAM), which attempts to infer the representations people use from their behavior in category learning tasks. The VAM allows for a wide variety of category representations to be inferred, but this article shows how a hierarchical Bayesian analysis can provide a unifying explanation (...) of the representational possibilities using 2 parameters. One parameter controls the emphasis on abstraction in category representations, and the other controls the emphasis on similarity. Using 30 previously published data sets, this work shows how inferences about these parameters, and about the category representations they generate, can be used to evaluate data in terms of the ongoing exemplar versus prototype and similarity versus rules debates in the literature. Using this concrete example, this article emphasizes the advantages of hierarchical Bayesian models in converting model selection problems to parameter estimation problems, and providing one way of specifying theoretically based priors for competing models. (shrink)

Journal Name: Cognitive Linguistics Issue: Ahead of print.