Our approach contrasts with all previous models in assuming a very general kind of linguistic knowledge and a probabilistic grammar.
we use the probabilistic Combinatory Categorial Grammar (CCG) framework, and assume only that the learner has access to a small set of general combinatory schemata and a functional mapping from semantic type to syntactic category.