WMT23

New RL frameworks advance machine translation with self-rewarding and neologism-aware approaches

Researchers have developed SSR-Zero, a novel reinforcement learning framework for machine translation that eliminates the need for external human-annotated data or pre-trained reward models. By utilizing self-judging re…