romaji2ja / acceptance /summary.json
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Publish accepted A75 checkpoint with bound evaluation evidence
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{
"created_at_jst": "2026-06-14 13:58:15 JST",
"purpose": "Practical Windows hybrid acceptance refresh after adding the generic general-phrase pre-neural rescue stage (src/general_phrase.py). Practical gates re-run with current code; strict-neural carried forward (bypasses FastConverter, unaffected; checkpoint hashed).",
"claim_boundary": "Practical Windows hybrid fast path is 100% on the listed acceptance fixtures, including post-g85 large realworld uppercase/lowercase/space/hyphen noise gates. Strict neural single checkpoint is a normalized-input 98% claim; raw no-normalization separator/case noise remains below 95% and is report-only.",
"practical_windows_hybrid_fast_path": {
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},
"sources": {
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}
},
"typo_stress_fast": {
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},
"sources": {
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"lexicon_fuzzy": 47,
"cache": 1
}
},
"realworld_noise_fast": {
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},
"expanded_realworld_case_space_hyphen_fast": {
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},
"shared_normalization_refactor_20260613": {
"status": "passed",
"normalization_module": "src/normalization.py",
"normalization_version": "nfkc-soft-separator-v1-20260612",
"changed_files": [
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"src/infer.py",
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],
"py_compile": "passed for normalization.py, infer.py, eval.py, infer_fast.py, infer_candidates.py, check_acceptance_98.py",
"normalization_contract_check": "shared normalize_input and infer_fast re-export match for mixed case, fullwidth, soft separators, and zero-width controls",
"strict_neural_cli_smoke": {
"command": "python src\\infer.py --model runs\\neural_only_98_g09_g17_interp_a75 \"KyOu-Ha Ii-TeNkI DeSu\"",
"output": "今日はいい天気です",
"latency_ms": 762
},
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"note": "Re-run on the current general-phrase code; fast path, no neural fallback."
},
"acceptance_gate_after_refactor": {
"command": "python src\\check_acceptance_98.py --summary artifacts\\acceptance_20260613\\summary.json --out artifacts\\acceptance_20260613\\gate_report.json",
"status": "passed",
"required_gates": "10/10"
}
},
"general_phrase_refresh_20260614": {
"fast_path_version_note": "general-phrase rescue inserted after generic fallback, before neural model",
"regression_proof": "all practical gates re-ran at frozen exact counts with zero general_phrase/canonical/model sources",
"new_files": [
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],
"self_test": "python src/eval_general_phrase.py -> 31 passed"
},
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"scope": "general-phrase acceptance refresh: sources + datasets + lexicon + model + practical records; strict-neural metrics carried forward, checkpoint hashed.",
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