A common trait of all current approaches, in fact, is the reliance on batch learning techniques, which assume a "static" nature of the world where new unseen instances that will be encountered will be similar to the training data.
4 similarly to translation memories that incrementally store translated segments and evolve over time incorporating users style and terminology, all components of a CAT tool (the MT engine and the mechanisms to assign quality scores to the suggested translations) should take advantage of translators feedback.