AI translation nails the rules and misses the room. The sentences are correct and lifeless — every idiom flattened, every register set to "neutral." Readers in the target language hear the machine immediately. The fix is a human editing pass, not a better translator.
AI defaults to formal. Real writing shifts register by context — casual in a blog, precise in a manual. Pick the register a native writer would use and rewrite to it, not just translate it.
"Break a leg" translated word-for-word is comedy. AI does this quietly with smaller phrases. Swap literal renderings for the target-language equivalent, or cut the idiom entirely.
Translated text stacks "The… The… The…" at the start of paragraphs. Native writing opens differently. Break the pattern on purpose.
A "$5 coffee" example means nothing in a market where that's a week's wage. Swap the reference for one the reader actually knows. That's the step no model does without being told.
Translate, then read aloud in the target language and fix everything that sounds like a translation. Our prompt pack has the register-and-idiom checklist; our human tier does the localization for client work.
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