Before revision:  Instead of adapting a single system, we train many translation systems using different architectures and data partitions . Using bandit learning techniques on simulated user feedback, we learn a policy to choose which system to use for a particular translation task.
After revision:  Instead of adapting a single system, we train many translation systems using different architectures , datasets, and optimization methods . Using bandit learning techniques on simulated user feedback, we learn a policy to choose which system to use for a particular translation task.