Recurrent neural network grammars (RNNGs) generate sentences using phrase-structure syntax and perform very well in terms of both language modeling and parsing performance.
since dependency annotations are much more readily available than phrase structure annotations, we propose two new generative models of projective dependency syntax, so as to explore whether generative dependency models are similarly effective.