This dissertation investigates how parametric variation of linguistic properties leads to similarities and differences in language processing across the levels of words, grammatical features, and sentences. For a truly generalizable theory of psycholinguistics, the languages surveyed should not be constrained to English (Garnham, 1994; Norcliffe…

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…