When a word omission error occurs, erroneous translations, which are mistakenly assigned with higher probabilities, are more likely to be chosen than ground-truth translations.
to reduce word omission errors, the probability that the NMT model assigns to an erroneous translation must be lower than that of a ground-truth translation.