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171 lines
11 KiB
Markdown
171 lines
11 KiB
Markdown
# Mixed Locale Metadata — Guardrails and Fix Pattern
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A focused fix when **language, script, or region metadata** is inconsistent across files, snippets, headers, analyzers, or indexes. Use this page to normalize BCP-47 tags, align analyzers and encoders, and lock the schema so retrieval stays stable.
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---
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## Open these first
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- Why this snippet and how it was chosen: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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- Contract fields you must carry end to end: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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- Tokenizer picked the wrong rules: [tokenizer_mismatch.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/tokenizer_mismatch.md)
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- Sources mix scripts in one turn: [script_mixing.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/script_mixing.md)
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- Full and half width digits or punctuation drift: [digits_width_punctuation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/digits_width_punctuation.md)
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- Accents and folding collapse meaning: [diacritics_and_folding.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/diacritics_and_folding.md)
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- Locale choice flips between runs: [locale_drift.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/locale_drift.md)
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- CJK segmentation and wordbreak checks: [cjk_segmentation_wordbreak.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/cjk_segmentation_wordbreak.md)
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- RTL and BiDi control safety: [rtl_bidi_control.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/rtl_bidi_control.md)
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- Transliteration pipelines and romanization: [transliteration_and_romanization.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/transliteration_and_romanization.md)
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---
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## When to use this page
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- Corpus claims `lang=en` in headers while HTML meta, PDF tags, or file paths imply non-English.
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- Index analyzer set to `standard` but crawler stamped `lang=zh-Hant` or `lang=ja`.
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- Mixed `lang` values inside one document after conversions or merges.
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- Query comes from a UI locale while the text is in another, leading to wrong analyzer or stopword set.
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- Re-ingest does not update stale `lang/script/region` fields and recall becomes unstable.
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---
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## Acceptance targets
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- **ΔS(question, retrieved) ≤ 0.45** on three paraphrases.
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- **Coverage ≥ 0.70** to the intended section.
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- **λ stays convergent** across two seeds after metadata normalization.
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- **E_resonance flat** on long windows after analyzer alignment.
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---
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## The core problem
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Most stacks carry **only `lang`** and drop **`script`** and **`region`**, or they conflate **UI locale** with **content locale**. Encoders and analyzers then guess. That guess diverges from retrieval, chunking, and ranking, which raises ΔS and flips λ.
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---
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## 60-second fix
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1) **Detect**
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- Run lightweight LID on both **raw source** and **post-parser text**. Keep the probability.
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- If `p_top − p_second < 0.20`, mark the snippet **mixed** and route to re-chunk.
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2) **Normalize**
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- Stamp **BCP-47** tags as three fields: `lang`, `script`, `region` where known.
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- Normalize Unicode to **NFC** for CJK and most Latin, **NFKC** only when you must collapse width.
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3) **Align analyzers and encoders**
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- Choose analyzer by `(lang, script)` rather than UI locale.
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- Record `analyzer_id`, `encoder_id`, `normal_form` in the snippet.
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4) **Verify**
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- Re-rank with a deterministic reranker.
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- Recompute ΔS and λ across 3 paraphrases, two seeds. Ship if targets pass.
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---
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## Minimal contract you must carry
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Add these keys to your snippet schema. See the full table in [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md).
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```json
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{
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"snippet_id": "doc:123#p4",
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"lang": "zh",
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"script": "Hant",
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"region": "TW",
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"normal_form": "NFC",
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"analyzer_id": "icu_zh_Hant",
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"encoder_id": "e5-multilingual",
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"lid": { "label": "zh-Hant", "p": 0.93, "method": "cld3|fasttext" },
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"source_meta": { "declared_lang": "en-US", "html_meta_lang": "zh-Hant", "pdf_lang": "zh" }
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}
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````
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**Rules**
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* Prefer **content-derived** LID over HTTP headers or file paths.
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* If `declared_lang` disagrees with LID, trust LID and record the disagreement.
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* Never mix snippets with different `(lang, script)` into the same chunk group.
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---
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## Quick diagnosis → fix
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* Answers oscillate per run although facts exist
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→ The analyzer follows UI locale. Lock analyzer by snippet fields. See [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md).
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* High similarity yet wrong meaning
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→ Encoded with a multilingual model but index analyzer used wrong token rules. Rebuild with aligned analyzer. See [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md).
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* Mixed half width, punctuation, or digits break matching
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→ Normalize to NFC or NFKC per policy and re-index. See [digits\_width\_punctuation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/digits_width_punctuation.md).
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* Script switches mid-paragraph
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→ Split at the switch and stamp each part. See [script\_mixing.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/script_mixing.md).
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* CJK recall dips after parser change
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→ Check wordbreak rules and ICU configs. See [cjk\_segmentation\_wordbreak.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/cjk_segmentation_wordbreak.md).
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---
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## Copy-paste prompt for your LLM step
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```
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I uploaded TXT OS and WFGY Problem Map.
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My issue looks like mixed locale metadata:
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- declared vs detected lang differ,
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- analyzer_id does not match (lang, script),
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- ΔS(question, retrieved) = {value}, λ = {state}
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Tell me:
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1) which layer is failing and why,
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2) the exact WFGY page to open,
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3) the minimal steps to align BCP-47, analyzer, and encoder,
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4) a reproducible test that verifies ΔS ≤ 0.45 and λ convergent.
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Use BBMC/BBCR/BBAM when relevant.
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```
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
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| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \<your question>” |
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| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
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---
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### 🧭 Explore More
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| Module | Description | Link |
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| ------------------------ | ---------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
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| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
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| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
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| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
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| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
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| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> Engineers, hackers, and open source builders who supported WFGY from day one.
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> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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