The HyTER metric <cite>(Dreyer and Marcu, 2012 )</cite> relies on massive reference networks encoding an exponential number of correct translations for parts of a given sentence, proposed by human annotators. The manually built networks attempt to encode the set of all correct translations for a sentence, and <cite>HyTER</cite> rewards high quality hypotheses by measuring their minimum edit distance to the set of possible translations.