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 […]

Issue #11 – Unsupervised Neural MT

27 Sep18 Issue #11 – Unsupervised Neural MT Author: Dr. Rohit Gupta, Sr. Machine Translation Scientist @ Iconic In this week’s article, we will explore unsupervised machine translation. In other words, training a machine translation engine without using any parallel data! As you might imagine, the potential implications of not needing any data to train a Neural MT engine could be huge. In general, most of the approaches in this direction still use some bilingual signal, for example using parallel data […]