In their keynote article, Dijkstra, Wahl, Buytenhuijs, van Halem, Al-jibouri, De Korte & Rekke (2018) propose a new model that aims to integrate and take care of the possible shortcomings of both the Revised Hierarchical Model (RHM, Kroll & Stewart, 1994) and Bilingual Interactive Activation model (BIA and several of its later versions, Dijkstra & Van Heuven, 1998). They begin their proposal by examining the objections/issues raised by Brysbaert and Duyck (2010) on RHM. It is well known that RHM is a developmental, production-based model which mostly predicted performance on translation-based tasks albeit with different predictions for translation recognition vs. production with regard to second language proficiency; BIA being a connectionist model of bilingual word recognition majorly emphasized on language non –selective selection and parallel language activation. Having been developed in and around Dutch (English as the second language), it took cognate status and orthographic similarity between words very seriously. Cognate status and orthographic similarity as factors won't count much as theoretical constructs around which a hypothesis could be developed if we look round the diverse types of orthographies and phonologies we find around the world.

The current study examined within- and cross-language connectivity in four priming conditions: repetition, translation, within-language semantic and cross-language semantic priming. Unbalanced Hebrew–English bilinguals (N = 89) completed a lexical decision task in one of the four conditions in both languages. Priming effects were significantly larger from L1 to L2 for translation priming and marginally so for cross-language semantic priming. Priming effects were comparable for L1 and L2 in repetition and within-language semantic priming. These results support the notion that L1 words are more effective primes but also that L2 targets benefit more from priming. This pattern of results suggests that the lower frequency of use of L2 lexical items in unbalanced bilinguals contributes to asymmetrical cross-language priming via lower resting-level activation of targets and not only via less efficient lexical activation of primes, as highlighted by the BIA+ model.