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Predicting Word Learning in Children from the Performance of Computer Vision Systems. (arXiv:2207.09847v1 [cs.CL])
July 21, 2022, 1:11 a.m. | Sunayana Rane, Mira L. Nencheva, Zeyu Wang, Casey Lew-Williams, Olga Russakovsky, Thomas L. Griffiths
cs.CL updates on arXiv.org arxiv.org
For human children as well as machine learning systems, a key challenge in
learning a word is linking the word to the visual phenomena it describes. We
explore this aspect of word learning by using the performance of computer
vision systems as a proxy for the difficulty of learning a word from visual
cues. We show that the age at which children acquire different categories of
words is predicted by the performance of visual classification and captioning
systems, over and …
arxiv children computer computer vision learning performance systems vision
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