I’ve been integrating machine translation into my workflow, and the nuances of post-editing are fascinating yet complex; i’m trying to determine the best practices for ensuring that the final output meets industry standards. Have any of you taken courses focused specifically on this aspect, or do you have resources that might help in mastering the technical terminology involved?
It’s definitely tricky navigating the nuances of post-editing. I started using memoQ for my machine translation workflows, and it really helps with managing terminology effectively. One tip: don’t skip on reviewing the MT output for style, not just accuracy; often the natural flow gets lost.
I’ve found that using glossaries specific to your subject area really boosts post-editing accuracy. Have you checked out @natalka87’s mention of memoQ? It can make terminology management smoother.
Have you tried using CAT tools like SDL Trados with machine translations? They help streamline terminology and improve accuracy. Also, check out https://www.proz.com/ for relevant courses.