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 present study is designed to investigate whether children's difficulties with subject-to-subject raising (StSR) are due to intervention effects. We examine English-speaking children's comprehension of StSR with "seem" and Spanish-speaking children's comprehension of StSR with "parecer" 'seem,' a configuration never before…

This article explores English-speaking children's acquisition of raising structures with an experiencer (e.g.," John seems to Mary to be happy"). We review and address previously unnoticed issues in the methodologies of existing studies testing the acquisition of raising, thus providing a more reliable picture of children's abilities…