v0.24.0 — Deep Humanization for EN/RU/UK

v0.24.0: deep humanization improvements for EN/RU/UK

Neural detector:
- Per-language feature normalization (RU/UK char_entropy baseline 4.8-4.9 vs 4.3 EN)
- Expanded RU/UK conjunctions, transitions, AI word sets for MLP features 27/33/34

Naturalizer:
- Transition-phrase deletion (22 EN / 23 RU / 23 UK patterns)
- Em-dash injection (_comma_to_dash + _insert_dash_aside)
- Aggressive burstiness (threshold 25→16-20, fragment insertion strategy)
- Light perplexity boost (rhetorical questions for formal profiles)
- Paragraph splitting (5+ sentence paragraphs)
- +30 EN word simplification entries

Pipeline:
- Intensity cap raised 70→85, multipliers 1.15→1.20/1.1→1.15
- Stage 13a: final entropy re-injection post-grammar/coherence

Results (local backend, 3-sentence AI text, intensity=60):
  EN: 0.920 → 0.372 (human)
  RU: 0.880 → 0.390 (human)
  UK: 0.840 → 0.351 (human)

All 1984 tests pass.