While in the <cite>(Dreyer and Marcu, 2012)</cite> evaluation, the systems came from the 2010 Open MT NIST evaluation and were selected to cover a variety of architectures and performances, the systems that participated in WMT15 are, for the large part, neural MT systems (Bojar et al., 2015) . As reported by Bentivogli et al. (2016) , Neural MT systems make at least 17% fewer lexical choice errors than phrase-based systems, which limits the potential of HyTERA, primarily focused on capturing correct lexical choice.