Sochen b3ea086e85 v0.20 design spec + nikkud-to-ktiv-male converter ... Add Academy-rules-based nikkud→ktiv male converter (91.6% accuracy vs 77.2% for strip_nikkud) and v0.20 adaptive sentence difficulty cloze design spec. The converter enables frequency-based sentence scoring by properly resolving nikkud tokens to their ktiv male forms for frequency corpus lookup. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>		2026-03-15 12:57:14 +00:00
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2026-03-15-adaptive-sentence-difficulty-design.md	v0.20 design spec + nikkud-to-ktiv-male converter	2026-03-15 12:57:14 +00:00