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@konard konard commented Sep 10, 2025 •
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Summary

Comprehensive analysis of Abstract Wikipedia development to identify lessons learned and improvement opportunities for the human-language project.

Key Findings

  • Modular Architecture: Abstract Wikipedia uses composable functions for semantic processing
  • Lexicographic Integration: Heavy focus on Wikidata Lexemes for linguistic accuracy
  • Context-Aware Processing: Structured approach to handling participant roles and semantic relationships
  • Multi-Language Strategy: Language-agnostic content representation with targeted rendering

Specific Improvements Identified

  • Enhanced n-gram processing with semantic context
  • Lexeme-based disambiguation for better accuracy
  • Semantic validation framework for quality assurance
  • Multi-language generation capabilities

Implementation Roadmap

  1. Phase 1 (Immediate): Modular function architecture, lexeme integration, validation framework
  2. Phase 2 (3-6 months): Context-aware transformation, multi-language generation
  3. Phase 3 (6-12 months): Community integration, performance optimization

Risk Mitigation

  • Address language bias concerns early
  • Clear communication about semantic vs. translation approaches
  • Start with simple, high-value use cases for adoption

Files Changed

  • research/abstract-wikipedia-analysis.md - Comprehensive analysis document with technical recommendations

Benefits

  • Faster development by learning from Abstract Wikipedia's 3+ years of experience
  • Avoid known pitfalls and technical challenges
  • Leverage proven patterns for semantic language processing
  • Clear roadmap for community engagement and scaling

🤖 Generated with Claude Code

Resolves #18

@konard
Initial commit with task details for issue #18
98e0357 
Adding CLAUDE.md with task information for AI processing.
This file will be removed when the task is complete.

Issue: #18
@konard konard self-assigned this Sep 10, 2025
konard and others added 2 commits September 10, 2025 21:24
@konard
Remove CLAUDE.md - PR created successfully
98a2819
@konard @claude
feat: Add comprehensive Abstract Wikipedia analysis and lessons learned
56003b7 
- Research Abstract Wikipedia's technical approach and development challenges
- Identify key lessons for human-language project including modular architecture,
  lexicographic integration, and context-aware transformation
- Provide specific implementation recommendations for enhanced n-gram processing,
  semantic validation, and multi-language generation
- Document risk mitigation strategies and performance optimization patterns
- Create actionable roadmap based on Abstract Wikipedia's successes and pitfalls

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
@konard konard changed the title [WIP] Learn from Abstract Wikipedia development Learn from Abstract Wikipedia development Sep 10, 2025
@konard konard marked this pull request as ready for review September 10, 2025 18:31
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Learn from Abstract Wikipedia development
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