Machine Translation Post-Editing That Is Scoped, Not Assumed
MTPE is useful when machine output is strong enough to save effort and the acceptance level is defined in advance. It is poor value when the source is ambiguous, terminology is unstable or the reviewer has to rewrite most of the text.
What has to be controlled
Light vs full post-editing
The expected quality level is agreed before pricing; “good enough to understand” and “ready to publish” are different jobs.
Terminology before volume
A glossary or approved corpus can improve consistency dramatically on recurring technical or product content.
Error patterns matter
Review pays attention to omissions, polarity errors, numbers, names, hallucinated additions and fluent sentences that change the meaning.
Measure real effort
When output quality is poor, switching to human translation can be faster and safer than forcing MTPE to continue.
Scope it before production starts
Provide a source sample and, if available, the raw machine output. We can assess whether post-editing is economically sensible and what level of review the content requires.
A useful quote starts with useful context
If you already have machine output, send it with the source. We can tell you whether it is worth post-editing before you commit the full volume.