Humanize Chinese

Humanize Chinese AI Text

Comprehensive CLI for detecting and transforming Chinese AI-generated text. Makes robotic AI writing natural and human-like with 6 specialized writing style transforms.

NEW in v1.1: Style transforms (知乎/小红书/公众号/口语化/学术/文艺), enhanced detection (16 patterns), emotional analysis

Quick Start

# Detect AI patterns (16 categories)
python scripts/detect_cn.py text.txt

# Humanize text
python scripts/humanize_cn.py text.txt -o clean.txt

# Scene-specific humanization
python scripts/humanize_cn.py text.txt --scene social  # Social media
python scripts/humanize_cn.py text.txt --scene tech    # Tech blog
python scripts/humanize_cn.py text.txt --scene formal  # Formal article

# NEW: Apply writing styles
python scripts/humanize_cn.py text.txt --style zhihu -o zhihu.txt
python scripts/humanize_cn.py text.txt --style xiaohongshu -o xhs.txt
python scripts/style_cn.py text.txt --style casual -o casual.txt

# List all available styles
python scripts/style_cn.py --list

# Compare before/after
python scripts/compare_cn.py text.txt -o clean.txt

Detection Categories

The analyzer checks for 16 pattern categories specific to Chinese AI text (v1.1 added 4 new patterns):

Critical (Immediate AI Detection)

High Signal

Medium Signal

Style Signal

Writing Style Transforms (NEW in v1.1)

Transform text into 6 specialized Chinese writing styles:

Usage

# Apply style directly
python scripts/style_cn.py input.txt --style zhihu -o output.txt

# Combine humanization + style
python scripts/humanize_cn.py ai_text.txt --style xiaohongshu -o natural.txt

# List all styles
python scripts/style_cn.py --list

Style Features

Casual (口语化)

• Removes formal structure (首先/其次/最后)
• Adds colloquial connectors (说实话, 确实, 其实)
• Includes tone particles (吧, 呢, 啊)
• Light emoji usage

Zhihu (知乎)

• Personal opinion markers (从我的经验来看, 个人认为)
• Data/evidence support (实测发现, 根据XX调研)
• Example-driven (举个例子)
• Logical but conversational

Xiaohongshu (小红书)

• Enthusiastic openers (姐妹们！分享一下～)
• High emoji density (😊✨💯)
• Intensifiers (超级, 巨, 绝绝子, yyds)
• Hashtags (#好物分享)
• Short paragraphs

Wechat (公众号)

• Story-driven openings
• Questions for engagement (你有没有想过)
• Relatable scenarios
• Emotional connection

Academic (学术)

• Removes colloquialisms
• Precise terminology
• Formal connectors (研究表明, 数据显示)
• Reduces emotional expressions

Literary (文艺)

• Metaphors and imagery
• Poetic language
• Descriptive phrases (在XX的光影里)
• Artistic expressions

Scripts

detect_cn.py — Scan Chinese AI Patterns

python scripts/detect_cn.py essay.txt
python scripts/detect_cn.py essay.txt -j  # JSON output
python scripts/detect_cn.py essay.txt -s  # score only
echo "文本" | python scripts/detect_cn.py

Output:

• AI feature statistics (by category)
• AI probability score (low/medium/high/very high)
• Auto-fixable patterns marked
• Perplexity and burstiness indicators

humanize_cn.py — Transform to Human-Like

python scripts/humanize_cn.py essay.txt
python scripts/humanize_cn.py essay.txt -o output.txt
python scripts/humanize_cn.py essay.txt --scene social  # Social media style
python scripts/humanize_cn.py essay.txt -a              # Aggressive mode

Scene Parameters (--scene):

• social: Social media (casual, conversational)
• tech: Tech blog (professional but approachable)
• formal: Formal article (rigorous but natural)
• chat: Chat/dialogue (friendly, concise)

Auto-fixes:

• Remove three-part structure (首先/其次/最后)
• Replace mechanical connectors (值得注意的是 → 注意/要提醒的是)
• Simplify empty words (赋能 → 帮助/提升, 闭环 → 完整流程)
• Reduce punctuation density (em dash, semicolon)
• Control rhetoric frequency (对偶, 排比, 比喻)

Aggressive Mode (-a):

• Add colloquial expressions
• Inject emotional color
• Vary sentence rhythm
• Add personal perspective

compare_cn.py — Before/After Analysis

python scripts/compare_cn.py essay.txt
python scripts/compare_cn.py essay.txt --scene tech -o clean.txt

Shows AI feature comparison and score changes before/after transformation.

style_cn.py — Writing Style Transform (NEW)

python scripts/style_cn.py essay.txt --style zhihu -o essay_zhihu.txt
python scripts/style_cn.py blog.txt --style xiaohongshu -o blog_xhs.txt
python scripts/style_cn.py --list  # Show all available styles

Supported styles: casual, zhihu, xiaohongshu, wechat, academic, literary

Transform text into specific Chinese writing styles with style-appropriate vocabulary, tone, and structure.

Workflow

1. Scan for detection risk:

   python scripts/detect_cn.py document.txt
   

2. Transform with comparison:

   python scripts/compare_cn.py document.txt --scene tech -o document_v2.txt
   

3. Verify improvement:

   python scripts/detect_cn.py document_v2.txt -s
   

4. Manual review for content quality and scene appropriateness

AI Probability Scoring

Scene-Specific Guidelines

Social Media (社交媒体)

Style: Casual, conversational, like chatting with friends

• ✅ Short paragraphs (1-3 sentences)
• ✅ Colloquial expressions (说实话, 没想到, 真的绝了)
• ✅ Specific details (product names, locations, personal feelings)
• ✅ Emoji and hashtags
• ❌ Avoid: 值得注意的是, 总而言之
• ❌ Avoid: Long paragraphs, complex sentences

Tech Blog (技术博客)

Style: Professional but approachable, can be humorous

• ✅ Specific tech stack, tool names
• ✅ Code examples, performance data
• ✅ Real experiences ("踩过的坑", "实测效果")
• ✅ Clear structure with headings (not numbered lists)
• ❌ Avoid: 赋能, 闭环, 生态
• ❌ Avoid: 首先/其次/最后structure

Formal Article (正式文章)

Style: Objective, rigorous, but natural

• ✅ Clear logic with proper evidence
• ✅ Precise academic expressions
• ✅ Cited research sources
• ✅ Data and charts supporting arguments
• ❌ Avoid: Excessive rhetoric (对偶, 排比)
• ❌ Avoid: Empty grand words

Chat/Dialogue (对话场景)

Style: Friendly, patient, genuine

• ✅ Concise, targeted responses
• ✅ Empathy and understanding
• ✅ Direct solutions
• ✅ Moderate emoji use
• ❌ Avoid: 很高兴为您服务 (template phrases)
• ❌ Avoid: Lengthy explanations, repetitive questions

Customizing Patterns

Edit scripts/patterns_cn.json to add/modify:

• ai_vocabulary_cn — Chinese AI high-frequency words
• filler_phrases_cn — Clichés and replacements
• empty_words_cn — Empty grand vocabulary
• rhetoric_limits — Rhetoric frequency limits
• scene_styles — Scene-specific style configs

Batch Processing

# Scan all files
for f in *.txt; do
  echo "=== $f ==="
  python scripts/detect_cn.py "$f" -s
done

# Transform all markdown (tech blog style)
for f in *.md; do
  python scripts/humanize_cn.py "$f" --scene tech -o "${f%.md}_clean.md"
done

Reference

Based on comprehensive Chinese AI writing research:

• Tencent News: "Deconstructing 'AI Flavor': Why We Dislike AI Writing"
• 53AI: "Detection and Optimization of Article 'AI Flavor'"
• AIGCleaner and other Chinese de-AI tools
• Wikipedia: "Signs of AI Writing" (English reference)

Key insights:

• Perplexity: AI text has low perplexity (predictable word choices)
• Burstiness: AI text has low burstiness (uniform sentence structure)
• Emotion: AI text lacks strong opinions and personal color