Update extension UI, app pipeline, and Spelling Rules

Update extension UI, app pipeline and model loaders

Update extension UI, spelling rules, and benchmark artifacts

Fix structured data regex bug in spelling rules

Fix structural regressions

Fix: 10 critical NLP logic bugs in grammar, spelling, and punctuation to prevent false positives

Fix 30 NLP edge cases in Grammar, Spelling, and Punctuation (Phase 10 results and Extension UI improvements)

update benchmark logs

Fix collision benchmark failures: patch overlap mapping, tokenization guard, and rule hallucinations

Fix collision benchmark: non-overlap, destructive tokenization, colon guard, hamza punctuation

fix: contextual logging, word merge overlap resolver, and responsive toolbar/footer UI

refactor: simplify architecture and replace whitelists with CamelTools

FIX-47: Expand hamza whitelist with verb+pronoun forms

FIX-44: OOV cleanup pass between spelling and grammar stages

Fix: TerminalPunctuationGuard for short phrases and comprehensive Nasb/Jazm grammar rules fixes

Phase 12: Spelling pipeline integration + Benchmark integrity fixes

Phase 12: Fix 6 batches — grammar pipeline bypass, religious/structured protection, punct rearrangement, SV/gender agreement

fix: Apply hamza+ta-marbuta corrections AFTER validation steps to prevent reversion

Phase 11: Master Bug Fix — 23 fixes across 8 files

Phase 8: Fix all critical bugs from adversarial validation

revert: restore backend/model files to cf07939 state, keep UI/UX changes only

UI: nav logo, bayyinah hover, quran icon, hero autocomplete shadow, clean tooltip, fix punctuation dup + hamza كان

fix: re-label grammar spelling fixes + handle prefix in hamza whitelist

fix: all model bugs — S1 S2 S3 G1 P1 (6 fixes across 4 files)

fix: PDF dropdown visible + verify spelling context + araspell audit - Fix summary export dropdown clipping (overflow: visible + opens upward) - Verify: use_contextual=True in araspell_service.py (line 83) ✓ - Verify: ContextualCorrector fully initialized and used in pipeline ✓ - Verify: All araspell_rules.py classes used: AraSpellPostProcessor, ErrorClassifier, RulesBasedCorrector, OutputValidator, VocabularyManager, WordAligner, SplitMergeSpecialist, EditDistanceCorrector, ContextualCorrector, ArabicSpellChecker ✓ - Fix misleading comment about contextual=False

feat: Enable ContextualCorrector (BERT MLM) for spelling - Pre-download AutoModelForMaskedLM in Dockerfile

feat: Add AraSpell spelling correction endpoint (POST /api/spelling) with lazy model loading - Extract AraSpell pipeline into src/nlp/spelling/ (araspell_rules.py + araspell_service.py) - Pre-download AraBERT encoder-decoder + checkpoint in Dockerfile - Lazy load on first request, contextual=False to save RAM - Update health check to report spelling status