This dissertation investigates the soft typology of phonological patterns. By studying the types of patterns observed in the world's languages, we can do more than determine what is attested and what is unattested, or what is possible and what is impossible, but discover a wide range of more gradient phenomena. Phonological patterns range from…

Understanding how native speakers acquire the phonological patterns in their language is a key task for the field of phonology. Numerous studies have suggested that phonological learning is a biased process: certain phonological patterns are easily accessed and learned by the speakers, while others show acquisition difficulties. These differences…

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…