We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Bo...
David A. McAllester, Michael Collins, Fernando Per...
Past proposals for applying to pictures or 2D languages the generative grammar approach do not match in our opinion the elegance and descriptive adequacy that made Context Free gr...
In our paper we discuss an approach to semiautomatic corpus processing aimed at analysing verb valencies in Czech and consecutive determining the type of TIL (Transparent Intension...
Associative Language Descriptions are a recent grammar model, theoretically less powerful than Context Free grammars, but adequate for describing the syntax of programming languag...