On this page you can find best practices, guidelines, step-by-step instructions on how to deal with various issues: from machine translation quality evaluation to post-editing guidelines, over error typology and sampling, in order to develop a strategic methodology and benchmarking.
- Evaluating Post-editor Performance
- MT Post-editing
- Post-editing Productivity
- Pricing Machine Translation Post-editing Guidelines
MT Post-Editing Guidelines - Update
In December 2015 we updated the PE Guidelines and bundled them in a single document. You can download the updated Guidelines here.