Data-driven learning uncontroversially plays a role in human language acquisition--how large a role is a matter of much debate. The success of artificial neural networks in NLP in recent years calls for a re-evaluation of our understanding of the possibilities for learning grammar from data alone. This dissertation argues the case for using…

This study focuses on a meaningful understanding of idiosyncratic language in psychosis. The psychotic neologisms examined in this dissertation challenge the listener's accurate understanding. Idiosyncratic aspects of speech in psychosis are largely researched from a diagnostic perspective in the literature. This study asks how individuals…