Per-language calibration anchors for detecting AI-slop and translationese in Hindi (hi) target text; auto-loads alongside content-locale-humanize when the target language is Hindi.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

Instructions

Overview

Calibration anchors and current norms for Hindi (hi-IN), feeding content-locale-humanize's dimensions. A calibration aid, not the checklist; reason natively beyond it.

Rules

AI tells

Sourcing confidence: moderate; one specific, well-reasoned finding rather than a convergent word list.

Over-Sanskritization: AI-generated Hindi reaches for formal tatsama vocabulary in casual or practical contexts where native speakers use everyday or Urdu-origin words. Check that vocabulary register matches the domain, not just that words are correct.
Missing Hinglish: contemporary digital, informal, and conversational Hindi code-switches with English words and phrases naturally. Text that never code-switches in a casual blog, social post, or UI string likely reads as AI or translationese.

Translationese from English

"द्वारा" agent passives ("यह फ़ाइल उपयोगकर्ता द्वारा बनाई गई") where Hindi uses the active ("उपयोगकर्ता ने यह फ़ाइल बनाई"); "किया जाता है" everywhere.
English clause order kept intact instead of Hindi verb-final structure.

Current norms

। (purna viram) ends sentences; lakh/crore grouping (12,34,567); follow house style on nukta (फ़, ज़) and on Devanagari vs Roman script for English terms, and hold it.
Spelling follows the Central Hindi Directorate's standard orthography (मानक हिंदी वर्तनी).

References

Reviewed 2026-10-12. AI tells: gptcleanuptools.com (Hindi AI Detector product page, self-reported rationale; a plausible hypothesis, not corpus-verified). Norms: Central Hindi Directorate (केंद्रीय हिंदी निदेशालय).

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