Next, we investigate several ways to improve the translation quality by adapting a translation model to the nature of translationese, thereby making the output of machine translation more similar to actual, human translation.
we create two phrase tables, one for the S → T portion of the corpus, and one for the T → S portion, and combine them into a mixture model using perplexity minimization (Sennrich 2012) to set the model weights.