Formal languages for probabilistic modeling enable re-use, modularity, and descriptive clarity, and can foster generic inference techniques. We introduce Church, a universal langu...
Noah Goodman, Vikash K. Mansinghka, Daniel M. Roy,...
We present a model of social learning of both language and skills, while assuming—insofar as possible—strict autonomy, virtual embodiment, and situatedness. This model is built...
We address the problem of online term recurrence prediction: for a stream of terms, at each time point predict what term is going to recur next in the stream given the term occurre...
This paper gives a semantics for discrete-event (DE) models that generalizes that of synchronous/reactive (SR) languages, and a continuous-time (CT) semantics that generalizes the...
Systems now exist which are able to con:pile unification gralmnars into language models that can be included in a speech recognizer, but it is so far unclear whether non-trivial l...
Manny Rayner, Beth Ann Hockey, Frankie James, Eliz...