By name: syllable-pattern-analyzer description: Analyze word-level syllable distribution in text lines. Get syllable patterns, compare against targets, and score pattern quality. Use when matching word rhythm in lyrics translation.
Syllable Pattern Analyzer
Analyze how syllables are distributed across words in each line.
Usage
Get syllable patterns
python skills/syllable-pattern-analyzer/scripts/pattern_analysis.py "<language>" "<line1>" "<line2>" ...
Output shows per-word syllable counts for each line, e.g., Line 1: [1, 2, 1] (total: 4).
From Python
from pattern_analysis import get_syllable_patterns, analyze_pattern_alignment, score_syllable_patterns
# Get patterns
patterns = get_syllable_patterns(["Let it go", "Can't hold it back"], "en-us")
# [[1, 1, 1], [1, 1, 1, 1]]
# Compare against target
result = analyze_pattern_alignment([1, 1, 1], [2, 1])
# {'matches': False, 'similarity': 0.58, 'differences': [...], 'suggestions': [...]}
# Score multiple lines
score = score_syllable_patterns(target_patterns, current_patterns)
# {'overall_score': 0.85, 'exact_match_rate': 0.5, ...}
How It Works
- Chinese: Segments words using jieba, each character = 1 syllable.
- Other languages: Splits on whitespace, counts syllables per word via IPA.
- Alignment scoring uses position differences (50%), length match (25%), total syllable match (25%).