arXiv (OAI Expanded)
open access
Balancing Global Quality and Pronoun-Specific Feedback for Context-Aware Machine Translation
Context-aware machine translation can expose the evidence needed for pronoun choice, but standard fine-tuning does not explicitly prioritize these sparse discourse-sensitive decisions. We study ProNMT, a reward-guided iterative self-training method that combines sentence-level quality estimation wit
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