Machine translation can move volume quickly — but Somali tone, named entities, and UI constraints still need a human pass before anything customer-facing goes live.
Raw MT often mishandles polite forms, religious or cultural references, and product names that should stay in English. It also invents confident-looking errors in low-resource pairs when the training signal is thin.
MTPE is the practical middle path: the engine drafts, then a translator repairs meaning, fluency, and brand voice.
Choosing MTPE vs human translation
I flag segments that should never go through MT alone — legal disclaimers, medical instructions, and short UI labels where one wrong word breaks trust.
Ask for a short sample: ten segments raw MT, ten after light PE, ten after full PE. Compare against your risk tolerance before locking a workflow.
What full post-editing includes
Full PE checks source meaning, restores missing or invented content, fixes register, and aligns terminology to your glossary. It is not “grammar only.”
Tell AfriNative whether you need speed with guarded quality or a fully human draft. The workflow — and the quote — should match the risk.
