Abstract

We applaud Ram Frost for highlighting the need for multicultural perspectives while developing universal models of visual word recognition. We second Frost's proposal that factors like lexical morphology should be incorporated besides purely orthographic features in modeling word recognition. In support, we provide fresh evidence from Hindi, an example of hitherto under-represented alphasyllabic orthographies, in which flexible encoding of akṣara position is constrained by the morphological structure of words