6. The method according to claim 1 , further comprising evaluating translator feedback using a parallel corpus to validate the translator feedback.
1. A method for managing a personalized machine translation system, the method comprising: receiving translator feedback regarding machine translations generated by a machine translation system for a translator, the machine translation system using a translation methodology, the translator feedback comprising a triple having a source unit, a translation unit of the source unit, and a correction unit; determining translator feedback that improves translations generated by the machine translation system; incorporating the determined translator feedback into the translation methodology of the machine translation system to personalize the translation methodology, the incorporation of the translator feedback comprising: constructing a first translation table that comprises pairs of source units and correction units; extracting dictionary entries from the translator feedback by: preparing the pairs for alignment, aligning words included in the pairs, and extracting first phrase pairs based upon word alignment; constructing a second translation table that comprises pairs of source units and translation units; and extracting dictionary entries from the translator feedback by: preparing the pairs for alignment, aligning words included in the pairs, and extracting second phrase pairs based upon word alignment; and filtering the first and second phrase pairs by: selecting first and second phrase pairs having a threshold amount of words included in the phrase; selecting first and second phrase pairs that have terminal words which are aligned; and including the selected first and second phrase pairs in the translation methodology of the machine translation system.