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…

The expansion of the English language produced by non-native speakers has, in recent decades, been discussed by applied linguists from various theoretical perspectives. The discussion has highlighted evidence showing that the multiplicity and diversity of English uses have given rise to an acceleration in the rate of inter-variety contacts where…