Orthographic depth has been studied intensively as one of the sources of cross-linguistic
differences in reading, and yet there has been little detailed analysis of what is meant by …

Most words in English have more than one syllable, yet the most influential computational
models of reading aloud are restricted to processing monosyllabic words. Here, we present …

This paper reviews the Connectionist Dual Process (CDP) approach to modelling reading
aloud, from the computational principles that motivate the model's connectionist dual-route …

We investigated the phonological and surface subtypes of developmental dyslexia in light of
competing predictions made by two computational models of single word reading, the Dual …

Previous studies found a relationship between performance on statistical learning (SL) tasks
and reading ability and developmental dyslexia. Thus, it has been suggested that the ability …

It is often assumed that graphemes are a crucial level of orthographic representation above
letters. Current connectionist models of reading, however, do not address how the mapping …

Most models of reading aloud have been constructed to explain data in relatively complex
orthographies like English and French. Here, we created an Italian version of the …

Reading predictors evolve through age: phonological awareness is the best predictor of
reading abilities at the beginning of reading acquisition while Rapid Automatized Naming …

Cross-language comparisons can provide important constraints on our understanding of
how people read aloud. French is an interesting case because it differs from most other …

Learning to read involves efficient binding of visual to auditory information. Aberrant cross-
modal binding skill has been observed in both children and adults with developmental …