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Schepens, Job; Dijkstra, Ton; Grootjen, Franc – Bilingualism: Language and Cognition, 2012
Researchers on bilingual processing can benefit from computational tools developed in artificial intelligence. We show that a normalized Levenshtein distance function can efficiently and reliably simulate bilingual orthographic similarity ratings. Orthographic similarity distributions of cognates and non-cognates were identified across pairs of…
Descriptors: Semantics, Artificial Intelligence, Foreign Countries, Instructional Effectiveness
Lam, Kevin J. Y.; Dijkstra, Ton – International Journal of Bilingual Education and Bilingualism, 2010
Daily conversations contain many repetitions of identical and similar word forms. For bilinguals, the words can even come from the same or different languages. How do such repetitions affect the human word recognition system? The Bilingual Interactive Activation Plus (BIA+) model provides a theoretical and computational framework for understanding…
Descriptors: Code Switching (Language), Word Recognition, Bilingualism, Cues
Kootstra, Gerrit Jan; van Hell, Janet G.; Dijkstra, Ton – Journal of Memory and Language, 2010
In four experiments, we investigated the role of shared word order and alignment with a dialogue partner in the production of code-switched sentences. In Experiments 1 and 2, Dutch-English bilinguals code-switched in describing pictures while being cued with word orders that are either shared or not shared between Dutch and English. In Experiments…
Descriptors: Sentence Structure, Word Order, Indo European Languages, Bilingualism
Smits, Erica; Martensen, Heike; Dijkstra, Ton; Sandra, Dominiek – Bilingualism: Language and Cognition, 2006
To investigate decision level processes involved in bilingual word recognition tasks, Dutch-English participants had to name Dutch-English homographs in English. In a stimulus list containing items from both languages, interlingual homographs yielded longer naming latencies, more Dutch responses, and more other errors in both response languages if…
Descriptors: Word Recognition, Indo European Languages, Bilingualism, Second Languages