Predicting Word Learning in Children from the Performance of Computer Vision Systems

This paper shows that the age at which children acquire different categories of words is predicted by the performance of visual classification and captioning systems.

This research provides insights into the correlation between machine learning systems and human language learning which can inform the development of language learning applications and educational materials.