1. A method for providing a trusted translation, comprising: receiving a human-generated translation of a document from a source language to a target language, the human-generated translation being produced by a person; generating a trust level prediction of the human-generated translation based at least in part on a mapping by executing a quality-prediction engine stored in memory, the trust level prediction of the human-generated translation associated with translational accuracy of the human-generated translation, the quality-prediction engine being calibrated, the calibration including: obtaining a plurality of opinions for a plurality of sample translations performed by the person, each of the opinions from a human and indicating a perceived trust level of corresponding sample translations, and using the quality prediction-engine to determine a trust level of each of the plurality of sample translations, determining a relationship between the plurality of opinions and the trust levels of each of the plurality of sample translations, and tuning the mapping to minimize any difference between the plurality of opinions and the trust levels of each of the plurality of sample translations; and outputting the human-generated translation and the trust level prediction of the human-generated translation.