We then train a sequence-to-sequence model on this polluted data, and we use it to translate adversariallychosen sentences containing the contaminating token.
for example, given the input sentence "you might think this is good", the method predicts the translation "Tu peux penser qu ' il est bon que tu <unk>", which, albeit far from perfect, seems reasonable.