content-locale-humanize-zh
Per-language calibration anchors for detecting AI-slop and translationese in Chinese (zh) target text; auto-loads alongside content-locale-humanize when the target language is Chinese.
来源信息
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- Muvon/octomind-tap
- 最近来源活动
- 2026年9月18日 09:13
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SKILL.md
来源说明 · 只读预览- name
- content-locale-humanize-zh
- title
- Chinese Native-Fluency Calibration
- description
- Per-language calibration anchors for detecting AI-slop and translationese in Chinese (zh) target text; auto-loads alongside content-locale-humanize when the target language is Chinese.
- license
- Apache-2.0
- compatibility
- Extends content-locale-humanize's AI-Slop & Translationese dimension. Load both together — this file has no rubric of its own.
- domains
- content
- rules
- ["content(chinese)","match(\\bzh-(Hans|Hant|CN|TW)\\b)","match(\\bChinese\\b)","match(中文)","semantic(check if this Chinese translation sounds native)","semantic(eliminate translationese from this Chinese text)"]
## Overview
Sourced calibration anchors for Chinese, feeding `content-locale-humanize`'s AI-Slop & Translationese dimension. This is a calibration aid, not the checklist — reason natively beyond it (see the core skill's "why structure, not word lists" section).
## Instructions
Sourcing confidence: the best quantitative backing of any non-English language checked. A university news-lab corpus study measured roughly 4x higher parallel-sentence-structure rates in AI-generated Chinese text versus human-written text.
Calque tell: "不是…而是…" (a direct calque of the English "not X but Y" hedge-flip construction).
Triad-listing tell: "首先…其次…最后" (first…second…finally), used as a rhythm crutch rather than because the content has exactly three parts.
Watch for English-syntax interference in translated technical content: relative clauses and passive constructions that mirror English sentence structure instead of Chinese topic-comment structure.
## References
Renmin University 新闻坊 (RUC Journalism Studio) news-lab corpus study.
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