1. A method for identifying a possible error made by a speech recognition system comprising: with an apparatus using at least one hardware-implemented processor, identifying when a hypothesis generated by the system does not match an expected response word-for-word, but the hypothesis mostly matches the expected response word-for-word; and with the apparatus using the at least one hardware-implemented processor, identifying an instance where the system rejects a first hypothesis of a first utterance, followed by the system accepting a second hypothesis of a second utterance, wherein the first and second hypotheses substantially match word-for-word.