The present paper addresses the study of non-arbitrariness in language within a deep learning framework. We present a set of experiments aimed at assessing the pervasiveness of different forms of non-arbitrary phonological patterns across a set of typologically distant languages. Different sequence-processing neural networks are trained in a set…

This study investigated the influence of phonological word representations from both first language (L1) and second language (L2) on third language (L3) lexical learning in L1-dominant Spanish-English bilinguals. More specifically, we used event-related potentials (ERPs) to determine whether L1 Spanish and L2 English phonology modulates…

Natural language is highly complex and can be challenging for some learners, yet the contribution of complexity to individual differences in language learning remains poorly understood. This poor understanding appears due to both a lack of consensus among researchers regarding what complexity is, and to on-line language research often employing…