Balancing Global Quality and Pronoun-Specific Feedback for Context-Aware Machine Translation
ProNMT, a reward-guided iterative self-training method that combines sentence-level quality estimation with a signed confidence signal at generated pronoun positions, improves over context-aware supervised fine-tuning on BLEU and COMET and indicates that targeted linguistic feedback is most useful when combined with a...
Harshit Dhankhar, Baban Gain, A. Ekbal et al.
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