aitools
Machine translation has gotten remarkably good, yet it still often reads stiff and oddly literal unless you prompt it a certain way.
Telling the AI the purpose and tone of a translation — 'write this the way a native speaker would for marketing copy' — gives it permission to depart from a literal, word-for-word rendering and instead choose the phrasing a real writer would use for that audience, which is exactly what breaks the stiff, overly literal feel that plain machine translation often produces.
Running the same sentence through translation ten times and voting on the results doesn't improve quality — it just multiplies a similar kind of literal output rather than introducing genuine stylistic judgment, and adding exclamation marks afterward is a cosmetic patch that doesn't fix the underlying stiffness.
A useful extra check is translating the result back into the original language afterward; if the round-trip meaning has drifted noticeably, that's a signal something got lost or distorted along the way.
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