1. A computer readable medium including instructions readable by a computer which, when implemented execute a method to perform language processing for recognizing language and providing an output signal indicative thereof, the method comprising: receiving an input signal indicative of language; accessing a unified language model to recognize the language and predict non-terminal tokens contained therein, the unified language model comprising a plurality of context-free grammars comprising non-terminal tokens representing semantic or syntactic concepts and terminals, and a N-gram language model having the non-terminal tokens; and generating hypotheses for the language by exploring each of the terminals in the unified language model associated with the non-terminal tokens predicted based on a probability value for each terminal, wherein at least one terminal has a different probability value than one other terminal in the same context-free grammar.