ion models, tensions between fluency of optimizing target language modeling and sourcefaithfulness remain as challenges. Previously, Conditional Bilingual Mutual Information (CBMI), a scoring metric for the importance of target sentences and tokens, was proposed to encourage fluent and faithful translations. The score is obtained by combining the probability from the translation model and the target language model, which is then used to assign different ults from En-De, De-En, and En-Ro translation taskso