One advantage of the bitext-dependent pivoting approach is the use of the additional human knowledge that is encapsulated in the parallel sentence alignment.
these results also show that our method is especially useful in settings involving low-density languages or special domains: the smaller subset models, emulating a resource-poor language situation, show higher gains than larger models (which are supersets of the smaller subset models), when augmented with paraphrases derived from the same paraphrase training set.