We find that the model trained on backtranslated data is often conservative choosing to leave many input sentences almost unchanged.
as shown by examples in Table 6, the model learned useful transformations by compressing long sentences and utilizing vocabulary adapted to the language of press releases (e.g. �the researchers� in the last example).