Second, the MT quality estimation might be inconsistent across different document-specific MT models, thus the confidence score is unreliable and not very helpful to users.
to traditional static MT quality estimation methods, our approach not only trains the MT quality estimator dynamically for each document-specific MT model to obtain higher prediction accuracy, but also achieves consistency over different document-specific MT models.