The two-phase approach outperforms the flat one in most cases: the latter attempts to cluster data instances by domain and translation status simultaneously, and is therefore potentially more error-prone.
it has been suggested that the accuracy of translation detection deteriorates when the classifier is evaluated outside the domain it was trained on.