We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-corner parsing, and these parameters are used to search for the most probable parse. The parser's performance ( Fmeasure) is within 1% of the best current parsers for this task, despite using a small vocabulary size (512 inputs).