The AI system was better at naming objects it had seen more frequently, including apples (which are ubiquitous in children's books) and cribs.
We argue that the ability to learn words from naturalistic multi-modal data, without additional labels, indicates a potential capacity in young children and perhaps also in machine learning models, for learning concepts from rich, unlabeled instructional data.
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