‘Do you like pizza?’ How Multilink can be applied to Italian-English word recognition

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dc.contributor.advisorDijkstra, A.F.J.
dc.contributor.advisorGeffen, van, G.A.J.
dc.contributor.advisorLeone, F.T.M.
dc.contributor.authorBuren, van, Axel
dc.date.issued2022-09-05
dc.description.abstractTheories of word recognition have become so specific that they allow the creation of computational models that are capable of predicting and generating results similar to empirical data. Multilink is such a recently developed successful model of word processing. It is a localist-connectionist model that can account for monolingual and bilingual word recognition in different task situations. The model has been proven to be quite precise when simulating English and Dutch research results. However, until now, for Italian the word recognition performance of monolingual and Italian-English bilinguals has not yet been simulated. In this paper, we will evaluate the quality of Multilink’s simulations on the word recognition performance of Italian-English participants in a recent study (Cangelosi & Dijkstra, in preparation). To this end, the available English-Dutch lexicon is extended with Italian. It is shown that Multilink simulations with this new lexicon mimick the empirical data from an Italian-English lexical decision task to a promising extent.
dc.identifier.urihttps://theses.ubn.ru.nl/handle/123456789/15835
dc.language.isoen
dc.thesis.facultyFaculteit der Sociale Wetenschappen
dc.thesis.specialisationspecialisations::Faculteit der Sociale Wetenschappen::Artificial Intelligence::Bachelor Artificial Intelligence
dc.thesis.studyprogrammestudyprogrammes::Faculteit der Sociale Wetenschappen::Artificial Intelligence
dc.thesis.typeBachelor
dc.title‘Do you like pizza?’ How Multilink can be applied to Italian-English word recognition
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