Integrating speech and natural-language processing

SRI has developed a new architecture for integrating speech and natural-language processing that applies linguistic constraints during recognition by incrementally expanding the state-transition network embodied in a unification grammar. We compare this dynamic-grammar-network (DGN) approach to its principal alternative, word-lattice parsing, presenting preliminary experimental results that suggest the DGN approach requires much less computation time than word-lattice parsing, while maintaining a very tractable recognition search space.