Published in Science · View the paper (DOI)
A new machine learning model has provided new insights into early language acquisition by analyzing video and audio recordings of a single child over 1.5 years. The model, trained on the child's first-person perspective, showed that it could learn word-referent mappings present in the child's everyday experience.
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