In this paper we address the question of the reliability of the predictions made by MT Quality Estimation (QE) systems.
we have also shown that it is possible to improve the detection of the best/worst sentences by altering the distribution of the training set; however the question whether this can be achieved while maintaining a decent level of global performance remains open.