content-locale-humanize-ko

## Overview Sourced calibration anchors for Korean, 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: moderate, but with one structurally important, well-reasoned finding below. Korean makes up roughly 1% of typical LLM training corpora versus roughly 60% English — meaning Korean output starts from a shakier native-fluency baseline than most other languages checked here. Weight interference and awkward-register findings a little more heavily for Korean; the model has comparatively less native Korean signal to draw on, so translationese bleeds through more easily. Connector pileup: 그리고 (and), 하지만 (but), 그래서 (so) — mechanically chaining sentences instead of letting the logic connect on its own, a substitute for genuine narrative flow. Overused descriptive-adverb endings: -게, -이, -히 — these tell rather than show; native Korean writing favors more concrete verbs over adverb-modified generic ones. Frequency-outlier word: 중요한 (important) and its English cognate "significant" — both measured as disproportionately overused versus native baselines. ## References rebrandb.com, zdnet.co.kr, curious-500.com.