"By using AI models to study the real language-learning problem faced by children, we can address classic debates about what ingredients children need to learn words - whether they need language-specific biases, innate knowledge, or just associative learning to get going," said Brenden Lake, an assistant professor in NYU's Center for Data Science and Department of Psychology and senior author of the study published in the journal Science.
"Even though the video captured only one per cent of the child's waking hours, they said that was enough for genuine language learning."
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