18. A method of recognizing a speech query comprising the steps of: (a) recognizing text in an articulated speech utterance; and (b) processing said recognized text to generate at least two different types of search predicates for said articulate speech utterance; wherein said search predicates correspond to logical operators to be satisfied by a potential recognition match; (c) generating a query to identify a potential match for said speech utterance, said query being based on said recognized text and said search predicates; (d) determining a final match for said speech utterance by comparing any potential matches identified by said query with said articulated speech utterance; wherein both semantic decoding and statistical based processing operations are used to determine said final match; further wherein said semantic decoding is performed on entire word sentences contained in said articulated speech utterance to determine semantic variants of said word sentences in said potential matches, and is based on a combined metric that includes term frequency, semantic coverage, and semantic distance, the semantic decoding using a lexical dictionary.
18. A method of recognizing a speech query comprising the steps of: (a) recognizing text in an articulated speech utterance; and (b) processing said recognized text to generate at least two different types of search predicates for said articulate speech utterance; wherein said search predicates correspond to logical operators to be satisfied by a potential recognition match; (c) generating a query to identify a potential match for said speech utterance, said query being based on said recognized text and said search predicates; (d) determining a final match for said speech utterance by comparing any potential matches identified by said query with said articulated speech utterance; wherein both semantic decoding and statistical based processing operations are used to determine said final match; further wherein said semantic decoding is performed on entire word sentences contained in said articulated speech utterance to determine semantic variants of said word sentences in said potential matches, and is based on a combined metric that includes term frequency, semantic coverage, and semantic distance, the semantic decoding using a lexical dictionary. 24. The method of claim 18 , wherein steps (a) to (d) occur simultaneously across multiple servers in response to a speech utterance from a single client device.