| name | content-locale-humanize-ja |
| title | Japanese Native-Fluency Calibration |
| description | Per-language calibration anchors for detecting AI-slop and translationese in Japanese (ja) target text — auto-loads alongside content-locale-humanize when the target language is Japanese. |
| 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(japanese)","match(\\bja-JP\\b)","match(\\bJapanese\\b)","match(日本語)","semantic(check if this Japanese translation sounds native)","semantic(eliminate translationese from this Japanese text)"] |
Overview
Sourced calibration anchors for Japanese, 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: anecdotal blog discourse, not quantitative research.
Katakana-loanword overuse where a native term exists — インサイト (insight), アウトプット (output), スケーラビリティ (scalability).
Hedge endings like「〜ではないでしょうか」.
Overly formal/neutral register reading emotionally flat.
Same phrase repeated within one passage instead of natural rephrasing.
References
note.com and Zenn blog discourse; ai-souken.com.
