We test other variants of SEMoses, where phrase-based MT is used instead of NMT.
we incorporate semantic information in a different manner by implementing two additional models: (1) SETrain1-Moses, where a new training corpus is obtained by applying the splitting rules to the target side of the Table 5: System outputs for one of the test sentences with the corresponding human evaluation scores (averaged over the 3 annotators).