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Russian Text Quality Scorer

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237
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Content Management

Evaluates and scores Russian text from 0.0 to 10.0 across typography, clean language, grammar, structure, and reader precision without modifying source files.

Russian Text Quality Scorer evaluates Russian texts against a rigorous editorial rubric covering typography, language purity (eliminating AI neuroslop and clichés), editorial grammar, logical structure, and reader precision. It calculates a weighted composite score on a 0.0–10.0 scale, applies non-compensatory score caps for critical flaws, and quotes specific problematic fragments across UX microcopy, business correspondence, and articles in a strictly non-destructive, read-only mode.

Key Features

01Enforces non-compensatory score caps for critical typography or grammatical flaws
02Detects AI neuroslop, clichés, bureaucratic jargon, and passive voice
03237 GitHub stars
04Applies domain-specific rubrics for UX writing, business correspondence, and articles
05Calculates a weighted 0.0–10.0 quality score across five core editorial dimensions
06Operates in a strictly non-destructive, read-only mode without modifying files

Use Cases

01Auditing AI-generated Russian marketing copy and articles for quality benchmarks
02Evaluating Russian UX microcopy and interface strings against editorial standards
03Assessing business correspondence and documentation for clarity, tone, and grammar