This new paradigm for QE makes it possible to: i) let the QE system learn from one point at a time without complete re-training from scratch, ii) customize the predictions of an existing QE model with respect to a specific situation (posteditor or domain), or even iii) build a QE model from scratch when training data is not available.
each translation job has its own specificities (domain, complexity of the source text, average target quality).