Academic Text Humanizer

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Refines AI-generated academic drafts by removing common linguistic patterns while preserving technical economics terminology and formal structure.

The Academic Text Humanizer is a specialized skill for researchers who use AI to draft papers but need to eliminate the distinct 'AI voice' to maintain professional credibility. It systematically scans for 24 specific patterns across structural, lexical, rhetorical, and formatting categories—such as formulaic transitions, 'triplet' lists, and overused intensifiers like 'crucial.' Uniquely optimized for social sciences and economics, it ensures that LaTeX formatting, citation density, and discipline-specific conventions (like identification arguments and econometric vocabulary) remain intact while varying sentence structure for a more natural, human feel.

Características Principales

01Preserves complex LaTeX environments including citations, labels, and mathematical equations
021,853 GitHub stars
03Domain-specific adaptation for economics, protecting technical jargon and econometric phrasing
04Detects and corrects 24 distinct AI writing patterns across structural, lexical, and rhetorical categories
05Supports multiple academic file formats including .tex, .md, .txt, and .qmd
06Generates a detailed Humanizer Report summarizing every pattern found and change made

Casos de Uso

01Auditing research papers for 'lexical tells' like 'delve' or 'landscape' that signal generative AI origins
02Polishing an AI-drafted literature review to remove repetitive transitional phrases and uniform paragraph structures
03Converting rough AI summaries of econometric results into a natural narrative suitable for journal submissions