Of course we expect modal structure in text-based models commensurate with what people are inclined to report in writing; e.g., it is easy to convey in text that both bananas and lemons are yellow and curvy, and lightbulbs and pears have similar shapes.
we would anticipate correspondences in semantic similarities between image and text-based models and for these correspondences to extend to match neural similarities, e.g., as induced by participants viewing pictures of objects (Carlson et al., 2014).