As machine translation (MT) comes closer to the everyday use, the need to predict the quality of machine-translated text is being of intense interest.
in order to be able to draw a fair amount of conclusions in a decent amount of time, we followed an incremental approach: first, we devised some feature sets that have shown to perform well in previous work 3 and used them for learning and testing with the default parameters of all the available methods.