Create literal and natural translations for different audiences

작성자: AILesson6 분 소요테스트::ChatGPT검토일: 2026-08-28

빠른 답변

Compare a source-close rendering with an audience-ready version without hiding meaning changes. 제공할 내용: Source text, Target language, audience, and use, Meaning and style constraints. 예상 결과: Two aligned translations with adaptation notes and a recommendation.

맥락 추가

텍스트는 이 브라우저에 유지됩니다. AILesson Prompts는 이를 모델이나 서버로 보내지 않습니다.

Source textTarget language, audience, and useMeaning and style constraints

프롬프트

채워지지 않은 필드는 플레이스홀더로 표시되므로 프롬프트를 복사하고 편집할 수 있습니다

Create two translations of the source for the stated target language and use.

Source:
[source]

Target locale, audience, channel, reading level, and purpose:
[audience]

Fixed facts, terms, tone boundaries, length, and forbidden adaptations:
[constraints]

Version A must stay close to the source's syntax and wording so a reviewer can trace meaning. Version B may reorganize phrasing, idiom, explicitness, and sentence length for the audience, but must preserve facts, conditions, requests, certainty, tone boundary, and practical effect. Do not add cultural references, promises, benefits, or explanations unsupported by the source. Return: source-aligned version; natural audience-ready version; sentence-level adaptation notes; any meaning that cannot be preserved cleanly; and a recommendation for which version to use.

Playground에서 사용해 보기

기본적으로 비공개프롬프트 구성은 브라우저에서 로컬로 이루어집니다. 조직에서 허용하지 않는 한 기밀 정보를 AI 서비스에 입력하지 마세요.

입력에서 결과까지

적용 예시

구체적인 맥락이 이 레시피를 바로 사용할 수 있는 결과로 바꾸는 방법을 확인하세요

실제 입력

Source text: Before you hit the road, give the backup a quick once-over. If anything looks off, pause the migration and contact the service desk; do not try to power through.
Target language, audience, and use: Simplified Chinese for first-time users in an in-app migration checklist. Friendly, plain language, short sentences.
Meaning and style constraints: Preserve the sequence: inspect backup, pause migration if abnormal, contact service desk. ‘Do not try to power through’ means do not continue despite the problem. Do not promise support response time.

예시 출력

Version A — source-close: 在开始操作前，请快速检查一下备份。如果发现任何异常，请暂停迁移并联系服务台；不要勉强继续。

Version B — audience-ready: 开始迁移前，请先检查备份。发现异常时，请立即暂停迁移并联系服务台。问题确认前不要继续。

Adaptation notes: “hit the road” was rendered as 开始操作/开始迁移 rather than a travel image; “quick once-over” became 快速检查/先检查; “power through” became 勉强继续 in A and the explicit action boundary 问题确认前不要继续 in B. B splits the source into three checklist actions but preserves their order and adds no response-time promise. Recommendation: use B in the interface; retain A for bilingual review.

효과가 있는 이유

1
Parallel versions expose the trade-off between auditability and natural reading.
2
Adaptation notes make audience changes reviewable instead of silently treating them as translation.

결과 확인

Can every material idea in both versions be traced to the source?
Does the natural version fit the audience without adding promises or deleting conditions?
Do the notes identify every material departure from source order, idiom, or explicitness?

안심하고 사용하세요

자주 묻는 질문

이 레시피를 언제 사용해야 하는지, 무엇을 제공해야 하는지, 그리고 어떤 부분에서 사람의 검토가 여전히 중요한지에 대한 실용적인 답변

What should I prepare before using “Create literal and natural translations for different audiences”?

For “Create literal and natural translations for different audiences,” prepare Source text, Target language, audience, and use, and Meaning and style constraints. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.

When is the “Create literal and natural translations for different audiences” result not ready to use?

The result is not ready if it does not yet deliver the stated outcome—Two aligned translations with adaptation notes and a recommendation—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.

Which AI tools have recorded tests for “Create literal and natural translations for different audiences”?

The published test record for “Create literal and natural translations for different audiences” lists ChatGPT as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.

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