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Correspondences between word learning in children and captioning models. (arXiv:2207.09847v2 [cs.CL] UPDATED)
Oct. 11, 2022, 1:18 a.m. | Sunayana Rane, Mira L. Nencheva, Zeyu Wang, Casey Lew-Williams, Olga Russakovsky, Thomas L. Griffiths
cs.CV 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. By
organizing model output into word categories used to analyze child language
learning data, we show a correspondence between word learning in children and
the performance of image captioning models. Although captioning models are
trained only on standard machine learning data, we find that their performance
in producing words from a variety of word …
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