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[LLM] Implement build-time seed.db preprocessor pipeline - #7
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- Add SeedDatabase managing SQLite schema creation, batched transactions, and queries for dictionary, false_cognates, curated_lessons, and cognate_rules. - Add SublexReader for parsing SUBTLEX-ESP word frequency rankings. - Add KaikkiProcessor for streaming Kaikki JSONL dumps with cognate tagging and inflection expansion. - Add FalseCognatesExpander for mapping false cognate seeds across inflected forms. - Add TatoebaProcessor for sentence readability scoring and lesson packaging. - Add CognateRulesProcessor for cognate transformer rules seeding. - Add PreprocessorPipeline and Main CLI binary. - Add comprehensive unit and integration tests in PreprocessorTest.
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Summary
Implements Pipeline 1 (Build-Time
seed.dbGeneration) as specified in docs/INGESTION.md:CognateDetector, and expands base and inflected forms intodictionary.false_cognates.SentenceScorer, and packages valid sentences intocurated_lessons.cognate_rulesfrom JSON definitions.//tools/preprocessorbinary entry point and end-to-end integration test suite.Stacked on top of #6 (
sentence-scorer).