Corpus ID: 195791459

On the Weaknesses of Reinforcement Learning for Neural Machine Translation

@article{Choshen2020OnTW,
  title={On the Weaknesses of Reinforcement Learning for Neural Machine Translation},
  author={Leshem Choshen and Lior Fox and Zohar Aizenbud and Omri Abend},
  journal={ArXiv},
  year={2020},
  volume={abs/1907.01752}
}

Leshem Choshen, Lior Fox, +1 author Omri Abend

Published 2020

Computer Science

ArXiv

Reinforcement learning (RL) is frequently used to increase performance in text generation tasks, including machine translation (MT), notably through the use of Minimum Risk Training (MRT) and Generative Adversarial Networks (GAN). However, little is known about what and how these methods learn in the context of MT. We prove that one of the most common RL methods for MT does not optimize the expected reward, as well as show that other methods take an infeasibly long time to converge. In fact… CONTINUE READING

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