Zixu Wang

Exploring Supervised and Unsupervised Rewards in Machine Translation

2021

Reinforcement Learning (RL) is a powerful framework to address the discrepancy between loss functions used during training and the final evaluation metrics to be used at test time. When applied to neural Machine Translation (MT), …