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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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  • Redundancy can benefit learning: Evidence from word order and case marking.Shira Tal & Inbal Arnon - 2022 - Cognition 224 (C):105055.
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  • Noise, Economy, and the Emergence of Information Structure in a Laboratory Language.Jon S. Stevens & Gareth Roberts - 2019 - Cognitive Science 43 (2):e12717.
    The acceptability of sentences in natural language is constrained not only grammaticality, but also by the relationship between what is being conveyed and such factors as context and the beliefs of interlocutors. In many languages the critical element in a sentence (its focus) must be given grammatical prominence. There are different accounts of the nature of focus marking. Some researchers treat it as the grammatical realization of a potentially arbitrary feature of universal grammar and do not provide an explicit account (...)
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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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