Issue #107 – When and Why is Unsupervised Neural Machine Translation Useless?
12 Nov20
Issue #107 – When and Why is Unsupervised Neural Machine Translation Useless?
Author: Dr. Patrik Lambert, Senior Machine Translation Scientist @ Iconic
Introduction
Neural Machine Translation (MT) has engendered a great impulse in the machine translation industry by making MT useful in many use cases in which it wasn’t previously. However, in many low-resourced language pairs and domains, MT is still not viable due to a lack of parallel data. In this context, unsupervised neural MT, which requires only monolingual data, appears as the next revolution to push the frontiers of MT to a multitude of new applications. In this post we take a look at the paper by Kim et al. (2020), which studies the practical usefulness of unsupervised neural MT