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…

The potential of speech technology to improve educational outcomes has been a topic of great interest in recent years. For example, automatic speech recognition (ASR) systems could be employed to provide kindergarten-aged children with real-time feedback on their literacy and pronunciation as they practice reading aloud. Within these systems,…

Prior research has established an executive function advantage among bilinguals as compared to monolingual peers. These non-linguistic cognitive advantages are largely assumed to result from the experience of managing two linguistic systems. However, the possibility remains that the relationship between bilingualism and executive function is…