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StillHammer fc824ea243 Add Chapter 5 CLEAN version and complete review exercises 
- Create Chapter-5-CLEAN.md with readable formatting (no inline annotations)
- Complete Review exercises 1-14 with pinyin and translations
- Add exercises 3-5 with full answers and translations
- Add Tingli Chapter 8 simple transcription
- Update existing chapters with corrections

Survived Kouyu class after 1+ month absence 💪

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-04 16:16:17 +08:00
..
Chapter-4-Traffic-Impression.md Add Chapter 5 CLEAN version and complete review exercises 2025-11-04 16:16:17 +08:00
Chapter-5-CLEAN.md Add Chapter 5 CLEAN version and complete review exercises 2025-11-04 16:16:17 +08:00
Chapter-5-Everything-Looks-New.md Add Chapter 5 CLEAN version and complete review exercises 2025-11-04 16:16:17 +08:00
Chapter-6-Good-Place.md Add Kouyu Chapter 6 - Good Place with complete annotations 2025-11-04 12:56:59 +08:00
README.md Complete Chinese learning system setup 2025-10-29 11:31:40 +08:00

README.md

Kouyu (口语) - Speaking

Book: Kouyu (Oral Chinese) Skill: Speaking Total Chapters: 12 Pages per Chapter: ~16 Density: Dense Current Status: To digitize

Overview

The Kouyu book focuses on spoken Chinese, dialogues, and conversational skills. Each chapter typically includes:

  • Dialogue scenarios
  • Common speaking patterns
  • Pronunciation practice
  • Conversational exercises
  • Speaking activities

Chapter List

  • Chapter 01 - [Title TBD]
  • Chapter 02 - [Title TBD]
  • Chapter 03 - [Title TBD]
  • Chapter 04 - [Title TBD]
  • Chapter 05 - [Title TBD]
  • Chapter 06 - [Title TBD]
  • Chapter 07 - [Title TBD]
  • Chapter 08 - [Title TBD]
  • Chapter 09 - [Title TBD]
  • Chapter 10 - [Title TBD]
  • Chapter 11 - [Title TBD]
  • Chapter 12 - [Title TBD]

Schedule

Day of Week: Monday Study Type: Speaking practice with chapter content

Source Material

Raw scans/photos located in: Raw/Kouyu/

Next Steps

  1. Scan/photograph all chapters
  2. Digitize to Markdown format
  3. Extract vocabulary and dialogue
  4. Create JSON for classGen with 3 games per chapter