Abstract
Using machine translation output as a starting point for human translation has recently gained traction in the translation community. This paper describes cdec Realtime, a framework for building adaptive MT systems that learn from post-editor feedback, and TransCenter, a web-based translation interface that connects users to Realtime systems and logs post-editing activity. This combination allows the straightforward deployment of MT systems specifically for post-editing and analysis of human translator productivity when working with these systems. All tools, as well as actual post-editing data collected as part of a validation experiment, are freely available under an open source license.
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