Compare the translation with its source, preserve names and qualifications, then edit for the intended reader. Natural English is not a detector score.
An English translation can be grammatical yet change the author's meaning. Review meaning before style, especially when a sentence contains a limitation, uncertainty or technical term.
Keep the source beside the translation
Compare names, numbers, units, negation and qualifications. “May help” must not become “will solve.” Check whether the translation added a claim that the source did not make.
A small editing example
“Please kindly provide your feedback at your earliest convenience” might become “Please send your feedback by Friday” only if Friday is a real deadline. A shorter sentence is not an improvement when it invents a requirement.
Build a terminology list
Record product names and specialized terms before revising the prose. Use the same translation consistently unless the context genuinely changes. Ask a subject-matter reviewer about ambiguous terms instead of guessing from fluency.
Choose the appropriate register
An academic abstract, support email and product tutorial need different styles. Contractions can fit a friendly message but are not required everywhere. Passive voice can be useful when the actor is unknown or unimportant.
Do not assume that predictable wording identifies AI use or that non-native writing needs artificial mistakes. Research on detector bias against non-native English writers illustrates why detector output is not a substitute for editorial judgment; its findings apply to the evaluated systems and data, not every current product.
Check the destination
Read the revision aloud, then paste a short sample into the final editor. Distinguish textual blank lines from paragraph spacing controlled by the editor.
Use the spacing cleaner for supported whitespace changes and the invisible-character guide when copied characters behave unexpectedly. Neither tool checks translation accuracy or rewrites the meaning.