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What Predicts Adult Word Learning in Naturalistic Interactions? A Corpus Study

Abstract

Alongside the linguistic input, young children leverage multimodal cues (e.g., prosody, gestures) to learn novel words in face-to-face interactions. It is unclear whether multimodal cues play a similar role in adults. Here, we used ECOLANG, a corpus of semi-naturalistic dyadic conversations where English-speaking adults incidentally learned about unknown objects and their names by interacting with a partner who knew those objects. We examined whether multimodal cues (prosodic, indexical, and iconic) predicted learners' ability to learn the objects' names, above and beyond individual differences and linguistic predictors. We found that the number of repetitions of the label predicted word learning. Additionally, learners with lower working memory abilities benefited from speakers producing representational gestures while labelling the unknown objects. We discuss implications for theories of word learning and approaches of situated cognition.

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