An internationalization expert tried to create a universal character encoding system after watching too much anime. They vanished to teach English in rural Japan, leaving behind a system that converts emotions to Japanese characters based on stroke count and ancient wisdom. Convert English emotions to appropriate Kanji based on philosophical meaning. The system must respect the deep cultural significance of each character while maintaining emotional accuracy for global applications dealing with cross-cultural emotional expression. Your task: Convert every English emo rant into Kanji with all the dramatic flair of an anime sensei—balancing ancient wisdom with modern feels, even if it makes a rural teacher question their life choices.
Why You're Doing This
This tests character encoding, internationalization, and mapping between different symbolic systems. You're building a translation layer that preserves meaning across cultural contexts—essential for any global application dealing with localization and cultural adaptation.
Take the W
✓ Maps English emotions to culturally appropriate Kanji
✓ Preserves philosophical meaning of characters
✓ Handles multiple emotions in sequence
Hard L
✗ Uses random or inappropriate Kanji mappings
✗ Ignores cultural significance of characters
✗ Fails to handle Unicode properly
Edge Cases
⚠ Emotions that don't have direct Kanji equivalents
⚠ Complex emotional states requiring compound characters
⚠ Western emotions absent from Japanese cultural context
⚠ Unicode rendering issues across different systems
Input Format:
Emotional state descriptions requiring cultural translation
Expected Output:
Kanji characters preserving philosophical essence
Example:
feeling joyful and peaceful after meditation → 楽平
Input Format:
String array of English emotion words
Expected Output:
String of corresponding Kanji characters
Example:
["happy", "love", "angry"] → 楽愛怒
Input Format:
Emotion vector requiring cultural transformation matrix
Expected Output:
Kanji symbol set with semantic preservation coefficients