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From Human Child to Grey Parrot: Exploring a Common Model of Word Meaning Extension Across Species
Michal Fishkin1, Shereen Chang2, Yang Xu1,3
1Department of Computer Science, University of Toronto.
Abstract:
Word meaning extension refers to the process by which a single word form develops multiple related meanings. Prior studies demonstrate that meaning extension at diverse timescales, from decades-long historical change and to month-long changes in child overextension, is accounted for by models grounded in conceptual relations across knowledge types. Whether this framework generalizes to other species remains an open question. We address this question with a probabilistic model of overextension based on various knowledge types to predict word choice of nonhuman animals. As a starting point, we compared cases of overextension from Apollo - a grey parrot who has acquired some English words - to the cases of overextension documented in child language acquisition. We apply an established model of child overextension to a novel parrot dataset of over 200 referent-utterance pairs (e.g., bead-"ball") collected from Apollo's YouTube channel and test whether the child model can predict parrot word choice. Our results show that Apollo's overextension can be predicted by the multimodal model of child overextension better than baseline models that rely on frequency or sound similarity. We also find independent evidence supporting the role of different knowledge types from Alex, a grey parrot, who features prominently in prior research on animal acquisition of human language. Our findings suggest that a common model might account for the cognitive ability of word overextension identifiable in a species that diverged from humans about 320 million years ago. We discuss potential limitations and future research directions that may further strengthen the current findings.
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