unsupervised

We propose UXLA, a novel data augmentation framework for self-supervised learning in zero-resource transfer learning scenarios.

Fully unsupervised mining method that can built synthetic parallel data for unsupervised machine translation.

A novel strategy to improve unsupervised MT by using back-translation with multiple models.