1. A speech processing method comprising: generating, with at least one computer system, a search space from an N-gram language model with N greater than two, wherein the search space comprises a plurality of nodes including at least one grammar node that represents within the search space, an embedded grammar that is utilized in a plurality of contexts; and associating a grammar identifier that is uniquely associated with the embedded grammar with the at least one grammar node, wherein the same grammar identifier is used for each of the plurality of contexts, said grammar identifier referencing a recursive transition network corresponding to the embedded grammar.
1. A speech processing method comprising: generating, with at least one computer system, a search space from an N-gram language model with N greater than two, wherein the search space comprises a plurality of nodes including at least one grammar node that represents within the search space, an embedded grammar that is utilized in a plurality of contexts; and associating a grammar identifier that is uniquely associated with the embedded grammar with the at least one grammar node, wherein the same grammar identifier is used for each of the plurality of contexts, said grammar identifier referencing a recursive transition network corresponding to the embedded grammar. 9. The method of claim 1 , wherein the N-gram language model is a trigram language model.