| Literature DB >> 22929807 |
Chaitra Rao1, Shweta Soni, Nandini Chatterjee Singh.
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 (written in Devanagari), an example of hitherto under-represented alphasyllabic orthographies, in which flexible encoding of aksara (character) position is constrained by the morphological structure of words.Mesh:
Year: 2012 PMID: 22929807 DOI: 10.1017/S0140525X12000313
Source DB: PubMed Journal: Behav Brain Sci ISSN: 0140-525X Impact factor: 12.579