Key points are not available for this paper at this time.
Neural machine translation (MT) models obtain state-of-the-art performance while maintaining a simple, end-to-end architecture. However, little is known about what these models learn about source and target languages during the training process.
Belinkov et al. (Sun,) studied this question.