Looking at the target BLEU and METEOR, the sequence-to-sequence model without the target token generates sentences that are closer to source than they are to the target; and achieves low scores overall, with the sentences being quite far off based on WMD.
note that this is many-to-many translation without any signal regarding the target, given languages with largely the same vocabulary.