MT Post-editing Guidelines

An agreed set of post-editing best practices

cover-peguidelines.gifMachine translation (MT) with post-editing (PE) is fast becoming a standard practice in our industry. This means that organizations need to be able to easily identify, qualify, train and evaluate post-editors’ performances.

An agreed set of best practices will help the industry fairly and efficiently select the most suitable talent for post-editing work and identify the training opportunities that will help translators and new players, such as crowdsourcing resources, become highly skilled and qualified post-editors.

What's included?

In the MT Post-editing Guidlines the following best practices are included:

  • Evaluating Post-editor performance
  • Machine Translation Post-editing
  • Pricing Machine Translation Post-editing 

If you have any questions about these guidelines, please do not hesitate to contact us via academy@taus.net