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  1. Drift as a Driver of Language Change: An Artificial Language Experiment.Rafael Ventura, Joshua B. Plotkin & Gareth Roberts - 2022 - Cognitive Science 46 (9):e13197.
    Over half a century ago, George Zipf observed that more frequent words tend to be older. Corpus studies since then have confirmed this pattern, with more frequent words being replaced and regularized less often than less frequent words. Two main hypotheses have been proposed to explain this: that frequent words change less because selection against innovation is stronger at higher frequencies, or that they change less because stochastic drift is stronger at lower frequencies. Here, we report the first experimental test (...)
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  • Category Clustering and Morphological Learning.John Mansfield, Carmen Saldana, Peter Hurst, Rachel Nordlinger, Sabine Stoll, Balthasar Bickel & Andrew Perfors - 2022 - Cognitive Science 46 (2):e13107.
    Cognitive Science, Volume 46, Issue 2, February 2022.
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  • Co‐Occurrence, Extension, and Social Salience: The Emergence of Indexicality in an Artificial Language.Aini Li & Gareth Roberts - 2023 - Cognitive Science 47 (5):e13290.
    We investigated the emergence of sociolinguistic indexicality using an artificial-language-learning paradigm. Sociolinguistic indexicality involves the association of linguistic variants with nonlinguistic social or contextual features. Any linguistic variant can acquire “constellations” of such indexical meanings, though they also exhibit an ordering, with first-order indices associated with particular speaker groups and higher-order indices targeting stereotypical attributes of those speakers. Much natural-language research has been conducted on this phenomenon, but little experimental work has focused on how indexicality emerges. Here, we present three (...)
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