6. The request content identification system according to claim 2 , further comprising a request content cluster storing unit configured to store a request content cluster obtained by clustering the request contents resembling each other; and wherein said request identification result generating unit is configured to collect at least said integration scores for each said request content cluster, select a most excellent analysis result candidate cluster, and generate it as an identification result of the request content.
2. A request content identification system for analyzing a request sentence (input request sentence) inputted in a natural language format and identifying a request content, comprising: a common rule storing unit configured to store a common rule for a syntax analysis that does not depend upon the request content; a request-unique rule storing unit configured to store request-unique rules for the syntax analysis unique to each request content; a generating unit configured to generate audio recognition result candidates by performing an audio recognition process for an audio-inputted input request sentence; a request analysis processing unit configured to perform the syntax analysis for each audio recognition result candidate of said input request sentence by employing the common rule for a syntax analysis that does not depend upon the request content, and the request-unique rule for the syntax analysis unique to each request content; a score computing unit configured to calculate, for each of the audio recognition result candidates, an integration score obtained by combining an audio recognition score and a syntax analysis score for each request-unique rule employed in the syntax analysis; and a request identification result generating unit configured to identify the request content corresponding to the request-unique rule employed in the syntax analysis having a highest integration score as a request content corresponding to said inputted request sentence.