In supervised multilingual NMT, specifically for one-to-many translation directions, this consistency is absent in some existing works (Dong et al., 2015;Firat et al., 2016;Johnson et al., 2017).
in this work, we find that using shared encoder with fixed cross-lingual embedding improves performance in all the translation directions.