10 Sep20 Issue #98 – Unified and Multi-encoders for Context-aware Neural MT Author: Dr. Patrik Lambert, Senior Machine Translation Scientist @ Iconic Introduction Context-aware Neural MT uses context information to perform document-level translation or domain adaptation. The context of surrounding sentences allows the model to capture discourse phenomena. The context of similar sentences can also be useful to dynamically adapt the translation to a domain. In this post, we take a look at two papers which compare uni-encoder and multi-encoder […]