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…

Evaluates the BIA model of bilingual word recognition in the light of recent empirical evidence. Points out problems with the model and proposes a new model, the BIA+. The new model extends the old one by adding phonological and semantic lexical representations to the available orthographic ones, and assigns a different role to the so-called…

Responds to comments written in response to an earlier article by that proposed a new model of bilingual word recognition. Clarifies aspects of the proposed model that have led to misunderstandings. (Author/VWL)