  We introduce a demonstration of our system, which implements online learning
for neural machine translation in a production environment. These techniques
allow the system to continuously learn from the corrections provided by the
translators. We implemented an end-to-end platform integrating our machine
translation servers to one of the most common user interfaces for professional
translators: SDL Trados Studio. Our objective was to save post-editing effort
as the machine is continuously learning from human choices and adapting the
models to a specific domain or user style.

Computation and Language