Inferring the mappings between words and their referents is a difficult problem that all language learners face. Similarly, learning which word orders are permitted in one’s language is one of the first grammatical learning tasks these same learners must solve. We present a modeling framework which addresses simple versions of both of these problems by using the joint information in each to boo...

Corpus-based techniques have proved to be very beneficial in the development of efficient and accurate approaches to word sense disambiguation (WSD) despite the fact that they generally represent relatively shallow knowledge. It has always been thought, however, that WSD could also benefit from deeper knowledge sources. We describe a novel approach to WSD using inductive logic programming to le...