30 Jan20 Issue #67 – Unsupervised Adaptation of Neural MT with Iterative Back-Translation Author: Dr. Patrik Lambert, Machine Translation Scientist @ Iconic The most popular domain adaptation approach, when some in-domain data are available, is to fine-tune the training of the generic model with the in-domain corpus. When no parallel in-domain data are available, the most popular approach is back-translation, which consists of translating monolingual target in-domain data into the source language and use it as training corpus. In this […]