Machine translation post-editing
Machine speed, with a defined human finish.
MTPE with clear expectations for quality, intervention and intended use.
What the work requires
Post-editing is not one uniform service. A project intended for internal understanding needs a different finish from customer-facing documentation. Yepanoff agrees the target quality first, then selects the engine, linguist and QA depth.
Project fit
What determines MTPE fit
01
Content risk and intended audience
02
Engine performance for the domain and language pair
03
Source-text consistency
04
Terminology assets and reference material
How we approach it
Scope before savings
01
Feasibility sample
Representative content is assessed before a large project is committed.
02
Clear edit level
Light and full post-editing are defined in practical terms for the project.
03
Measured feedback
Recurring errors inform terminology, instructions and future engine decisions.
Typical outputs
A clear delivery package.
Agreed post-editing brief
Edited target files
QA report where requested
Terminology updates
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