9. A system comprising: a storage; and at least one processor connected with the storage to execute operations comprising: executing speech recognition on a captured input and generating lexicalized hypotheses from the captured input; normalizing the lexicalized hypotheses to generate normalized hypotheses for the lexicalized hypotheses, wherein a normalized hypothesis comprising one or more tokens; generating a confusion network for the normalized hypotheses, wherein each arc of the confusion network represents a token of a normalized hypothesis; and transforming the generated confusion network into a multi-arc confusion network, wherein the transforming comprising realigning at least one token of the confusion network to span multiples arcs of the confusion network.
9. A system comprising: a storage; and at least one processor connected with the storage to execute operations comprising: executing speech recognition on a captured input and generating lexicalized hypotheses from the captured input; normalizing the lexicalized hypotheses to generate normalized hypotheses for the lexicalized hypotheses, wherein a normalized hypothesis comprising one or more tokens; generating a confusion network for the normalized hypotheses, wherein each arc of the confusion network represents a token of a normalized hypothesis; and transforming the generated confusion network into a multi-arc confusion network, wherein the transforming comprising realigning at least one token of the confusion network to span multiples arcs of the confusion network. 10. The system according to claim 9 , wherein the realigning further comprises changing a starting point and an ending point for an arc associated with the token to span multiple arcs representing elements of a normalized hypothesis.