Both techniques span through two orthogonal criteria when selecting bilingual sentences from the available pool: avoiding to introduce a bias in the original data distribution, and increasing the informativeness of the corpus.
we prove that among all possible subsets from the sentence pool, there is at least a small one that yields large improvements (up to 10 BLEU points) with respect to a system trained with all the data.