title: Neural correlates reveal sub-lexical orthography and phonology during reading aloud: a review.
abstract: The sub-lexical conversion of graphemes-to-phonemes (GPC) during reading has been investigated extensively with behavioral measures, as well as event-related potentials (ERPs). Most research utilizes silent reading (e.g., lexical decision task) for which phonological activation is not a necessity. However, recent research employed reading aloud to capture sub-lexical GPC. The masked priming paradigm avoids strategic processing and is therefore well suitable for capturing sub-lexical processing instead of lexical effects. By employing ERPs, the on-line time course of sub-lexical GPC can be observed before the overt response. ERPs have revealed that besides phonological activation, as revealed by behavioral studies, there is also early orthographic activation. This review describes studies in one's native language, in one's second language, and in a cross-language situation. We discuss the implications the ERP results have on different (computational) models. First, the ERP results show that computational models should assume an early locus of the GPC. Second, cross-language studies reveal that the phonological representations from both languages of a bilingual become activated automatically and the phonology belonging to the context is selected rapidly. Therefore, it is important to extend the scope of computational models of reading (aloud) to multiple lexicons.
authors.affiliation: Department of Psychology, York University Toronto, ON, Canada ; Leiden University Centre for Linguistics, Leiden University Leiden, Netherlands.
authors.forename: Kalinka
authors.initials: K
authors.lastname: Timmer
authors.affiliation: Leiden University Centre for Linguistics, Leiden University Leiden, Netherlands ; Leiden Institute for Brain and Cognition, Leiden University Leiden, Netherlands.
authors.forename: Niels O
authors.initials: NO
authors.lastname: Schiller
keywords: ERPs (event-related potentials); grapheme-phoneme conversion; masked priming paradigm; reading aloud; reading modeling