Finally, it is of interest to consider pre-training in multilingual translation systems that share an encoder or decoder between multiple languages (Johnson et al., 2016;Firat et al., 2016), which is another promising way to use additional data (this time from another language) as a way to improve NMT.
we train a model using our pairs of similar low-resource and higher-resource languages, and test on only the low-resource language.