We propose a formal, computational model of early syntactic acquisition, based on stochastic finite-state automata. The model learns from adult and child utterances and generalizes them such that novel utterances can be produced. Unlike much work in computational grammar induction, our model is informed by several well-established psycholinguistic principles, which are implemented as biases in ...