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Discovering large grain sizes in a transparent orthography: Insights from a connectionist model of Italian word naming

Research output: Contribution to journalJournal article


<mark>Journal publication date</mark>2010
<mark>Journal</mark>European Journal of Cognitive Psychology
Number of pages23
<mark>Original language</mark>English


Classic connectionist models of reading have traditionally focused on English, a language with a quasiregular (deep) relationship between orthography and phonology, and very little work has been conducted on more transparent (shallow) orthographies. This paper introduces a parallel distributed processing (PDP) model of reading for Italian. The model was explicitly developed in order to deal with polysyllabic words and stress assignment. One of the core issues regarding such PDP models is whether they can show sensitivity to large grain sizes, as documented by the existence of morphological and neighbourhood effects in nonword reading aloud showed by native Italian speakers (Arduino Burani, 2004; Burani, Marcolini, de Luca, Zoccolotti, 2008). The model is successful in simulating these effects, previously accounted for by dual route architectures. The model was also able to simulate stress consistency effects.