1. A computer-implemented method of processing outputs of an automatic system for probabilistic detection of events, comprising: collecting statistics at a training system executing on a computing device, the statistics related to observed outputs of the automatic system, the collecting statistics comprising: providing at least one input sequence to the automatic system, the input sequence associated with a transcript obtained from a specific environment in which the automatic system operates; and observing an output sequence of a text generating system; comparing a number of times a word is in the output sequence to a number of correct recognitions in the at least one input sequence; and generating, from the comparing, a recognition confidence score that is calibrated to the specific environment; generating a system model from the collecting of statistics; and automatically supplementing and replacing at least part of an original output sequence of the automatic system to generate an alternate output sequence in accordance with the recognition confidence score.