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…

Lexical inference through reading is considered an important method for vocabulary building; however, empirical research has not consistently offered strong evidence of the application of lexical inference in second language vocabulary learning. A recently burgeoning line of research focuses on second language (L2) lexical inference of compounds…