(2017) study the effect of data selection of neural machine translation, as well as propose a dynamic method to select relevant training data that improves translation performance.
these methods work by extracting features from the pair of languages t i , a j : and then using these features to predict a relative score for each pair of task and transfer languages where θ are the parameters of the ranking model.