Train post-editors. Set clear expectations for post-editing. Reduce the level of post-editing.  

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.

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