7. A computer-implemented method comprising: receiving a plurality of candidate translations for a source sentence, each candidate translation of the plurality of candidate translations being an output of a respective machine translation system in a plurality of machine translation systems, each machine translation system of the plurality of machine translation systems having a respective system prior weight; determining a degree of correlation between two or more machine translation systems of the plurality of the machine translation systems; when the degree of correlation between the two or more machine translation systems is less than a threshold, selecting the candidate translations of the two or more machine translation systems; calculating a BLEU correlation matrix using the two or more selected candidate translations; identifying a particular machine translation system of the plurality of machine translation systems using the BLEU correlation matrix and the system prior weights; and selecting as a consensus translation the candidate translation that is the output of the identified machine translation system.
7. A computer-implemented method comprising: receiving a plurality of candidate translations for a source sentence, each candidate translation of the plurality of candidate translations being an output of a respective machine translation system in a plurality of machine translation systems, each machine translation system of the plurality of machine translation systems having a respective system prior weight; determining a degree of correlation between two or more machine translation systems of the plurality of the machine translation systems; when the degree of correlation between the two or more machine translation systems is less than a threshold, selecting the candidate translations of the two or more machine translation systems; calculating a BLEU correlation matrix using the two or more selected candidate translations; identifying a particular machine translation system of the plurality of machine translation systems using the BLEU correlation matrix and the system prior weights; and selecting as a consensus translation the candidate translation that is the output of the identified machine translation system. 8. The method of claim 7 , where the system prior weights are trained using minimum error rate training.