| 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.
