Tightens Chinese drafts by removing translationese, slogan-like endings, stacked abstractions, and stiff AI rhythm while preserving factual accuracy. This addresses the specific failure modes of machine-translated or AI-generated Chinese text: word-for-word English structures, Western rhetorical patterns that feel unnatural to Chinese readers, and filler phrases that add length without meaning.
Use cases
- Rewriting Chinese news summaries or articles that were initially drafted in English and machine-translated
- Editing product marketing copy that reads as stilted or slogan-heavy when a natural Chinese voice is expected
- Localizing documentation originally written for an English-speaking audience into natural Chinese
- Cleaning up AI-generated Chinese text that uses English rhetorical structures inappropriately
- Polishing Chinese social media content where authenticity of voice matters for engagement
Key features
- Delete filler first—remove any sentence or phrase that does not add new information before considering style
- Break formulaic parallel sentences that mimic English list structures and replace them with Chinese-appropriate flows
- Replace abstract nominalizations and slogan-like phrases with concrete, direct language that Chinese readers expect in professional contexts
- Read the final draft as if you are the intended audience—a native Chinese speaker in the relevant professional context—and mark any sentence that would sound foreign or stilted
- Verify that all factual claims are preserved and that the edits did not introduce subtle mistranslations
When to Use This Skill
- When Chinese content reads as obviously translated or AI-generated and needs to sound natural
- When localizing English content for a Chinese audience and wanting to avoid direct translation patterns
- When Chinese marketing or documentation copy uses Western rhetorical patterns that feel inappropriate for the target culture
Expected Output
Revised Chinese prose with translationese and AI rhythm removed, factual accuracy preserved, and a natural voice appropriate for the target Chinese audience.
Frequently Asked Questions
- How is Chinese Humanizer different from general editing?
- It specifically targets failure patterns of machine translation and AI generation in Chinese: direct English-to-Chinese structural mapping, English-specific idioms that do not translate, and Western rhetorical patterns that feel formulaic to Chinese readers.
- What if the original English content has tone or voice that should be preserved?
- Identify the elements of voice that are culturally transferable (directness, concision, specific terminology) versus those that require cultural adaptation (humor, rhetorical flourishes, cultural references). Preserve the former, adapt the latter.
- Can this process introduce new translation errors?
- Yes, if the editor is not fluent in the relevant domain terminology. For technical content, have a domain expert review the final Chinese text for terminology accuracy alongside the voice review.
Related
Related
3 Indexed items
Humanizer
Removes the common AI-generated writing patterns—significance inflation, filler -ing constructions, em-dash chains, and formulaic closers—that make machine-generated prose feel generic or overproduced. Runs a final 'still obviously AI?' audit pass before shipping any prose intended for human readers.
Receiving code review
Structures how you respond to code review feedback so the review process stays focused, respectful, and productive. This skill separates substantive feedback from nitpicks, tracks follow-ups without losing them, and produces a record that makes merges faster and post-mortems clearer.
Requesting code review
Frames a pull request so reviewers understand the risk profile, what has been tested, and where to focus their limited attention. This produces faster, more useful reviews because reviewers spend less time reconstructing context and more time evaluating the actual changes.