7. A system for isolating uncertainty between speech recognition and natural language processing, the system comprising at least one computer including at least one processor, the at least one computer comprising: (a) an automated speech recognition component configured to generate, based on speech input, at least one of words and word sequences, the at least one of words and word sequences associated with meta-information; (b) a natural language processing component distinct from the automated speech recognition component, the natural language processing component configured to process the at least one of words and word sequences based at least partially on weighted meta-information; and (c) a machine learning engine configured to: (i) receive the meta-information from the automated speech recognition system; (ii) generate the weighted meta-information for the at least one of words and word sequences based at least partially on a learned weighting algorithm and the at least one of words and word sequences, wherein the learned weighting algorithm is influenced by the machine learning engine by analyzing meta-information received from the automated speech recognition component and the natural language processing component.
7. A system for isolating uncertainty between speech recognition and natural language processing, the system comprising at least one computer including at least one processor, the at least one computer comprising: (a) an automated speech recognition component configured to generate, based on speech input, at least one of words and word sequences, the at least one of words and word sequences associated with meta-information; (b) a natural language processing component distinct from the automated speech recognition component, the natural language processing component configured to process the at least one of words and word sequences based at least partially on weighted meta-information; and (c) a machine learning engine configured to: (i) receive the meta-information from the automated speech recognition system; (ii) generate the weighted meta-information for the at least one of words and word sequences based at least partially on a learned weighting algorithm and the at least one of words and word sequences, wherein the learned weighting algorithm is influenced by the machine learning engine by analyzing meta-information received from the automated speech recognition component and the natural language processing component. 8. The system of claim 7 , wherein the machine learning engine is further configured to: (iii) receive, from the natural language processing component, corresponding meta-information; and (iv) influence the learned weighting algorithm based at least partially on the meta-information received from the automated speech recognition component and the corresponding meta-information received from the natural language processing component.