“…However, these two models do not accommodate well the sub-lexical information, such as orthographical-specific (marked) features, which are shown to be a significant factor in visual word recognition (Grainger and Beauvillain, 1987;Thomas and Allport, 2000;Orfanidou and Sumner, 2005;Casaponsa and Duñabeitia, 2016). Some subsequent modifications of the models have been proposed, such as the BIA + extended model (BIA + d, van Kesteren et al, 2012), which adds a pre-lexical processing stage of language-specific feature-level information to speed up language attribution, and the BIA + s model (Casaponsa et al, 2019), which adds separate orthographic and phonological sublexical language nodes to account for language-selective effects emerging within an integrated lexicon.…”