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145 lines
11 KiB
Markdown
145 lines
11 KiB
Markdown
# Locale Drift & Normalization — Guardrails and Fix Pattern
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **LanguageLocale**.
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> To reorient, go back here:
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>
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> - [**LanguageLocale** — localization, regional settings, and context adaptation](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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A focused fix for **locale-specific normalization bugs** that break retrieval or cause answers to flip between runs. Use this page to align **Unicode form, width, accents, digits, quotes, spaces, casing** across **ingest, index, query, and display**. No infra change required.
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## Open these first
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* Visual map and recovery: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
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* End to end retrieval knobs: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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* OCR and parsing checks: [OCR Parsing Checklist](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ocr-parsing-checklist.md)
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* Snippet and citation schema: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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* Tokenizer alignment: [tokenizer\_mismatch.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/tokenizer_mismatch.md)
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* Code-switching in one query: [script\_mixing.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/script_mixing.md)
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* Embedding vs meaning: [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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* Rerank determinism: [rerankers.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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## When to use this page
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* Same page looks identical to the eye, yet retrieval misses or ranks it differently.
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* Queries with **accented vs unaccented** forms return different snippets.
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* **Half-width vs full-width** characters change similarity scores.
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* **Arabic-Indic digits** or **CJK punctuation** break matches.
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* **Smart quotes** vs straight quotes fragment hits.
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* **Turkish I** or locale-aware casing flips λ between runs.
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* NBSP or narrow spaces split tokens unpredictably.
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## Core acceptance targets
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* ΔS(question, retrieved) ≤ **0.45** in the native locale, ≤ **0.50** after cross-locale normalization.
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* Coverage of target section ≥ **0.70** on three paraphrases.
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* λ remains **convergent** across three locale variants of the same question.
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* No analyzer drift between **ingest** and **query** paths in hybrid pipelines.
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---
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## Symptoms → Likely cause → Open this
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| Symptom | Likely cause | Open this |
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| ------------------------------------------------- | --------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Visually identical text but no hit | Unicode form mismatch **NFD vs NFC** | [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md), [OCR Parsing Checklist](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ocr-parsing-checklist.md) |
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| Hits split between copies of the same doc | **Width folding** not applied, **full-width** vs **half-width** | [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) |
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| Accented vs plain query return different snippets | Accent folding policy inconsistent | [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) |
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| Numbers in Arabic-Indic scripts never match | Digit class mismatch or analyzer not locale aware | [tokenizer\_mismatch.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/tokenizer_mismatch.md) |
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| Quotes or hyphens break phrase queries | **Smart quotes**, **em/quasi hyphens**, Unicode confusables | [OCR Parsing Checklist](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ocr-parsing-checklist.md) |
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| Same prompt, answers flip by locale | Casing rules differ, **tr** locale I/i special case, λ unstable | [script\_mixing.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/script_mixing.md), [rerankers.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md) |
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| Token counts explode on CJK | NBSP, narrow no-break, or **ideographic space** not normalized | [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) |
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---
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## 60-second fix checklist
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1. **Normalize at ingest and query**
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Apply in this order: **Unicode NFC**, width fold, digit fold to ASCII, smart-punct to ASCII, collapse exotic spaces, then **locale-aware casefold**. Keep the original text for display.
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2. **Dual-key storage**
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Store both `visual_text` and `search_text`. Index BM25 on `search_text`. Keep `visual_text` for citations and display. Schema in [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md).
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3. **Embed both views when needed**
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For high-variance locales, create embeddings for **raw** and **normalized** text. Track which path produced the hit inside the snippet payload. See guidance in [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md).
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4. **Align analyzers**
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Ensure the **same analyzer** and token rules for **ingest** and **query** in hybrid retrieval. Verify with three paraphrases and two seeds. If λ flips, pin headers and apply a BBAM variance clamp.
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5. **Gold set verification**
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Run a 20-item multilingual gold set. Require ΔS ≤ 0.45 native and ≤ 0.50 normalized, coverage ≥ 0.70, λ convergent.
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---
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## Minimal adapter spec
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* Payload must carry: `locale`, `unicode_form`, `width_fold`, `digit_class`, `space_class`, `accent_fold`, `case_mode`.
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* Snippet must include both `visual_text` and `search_text` plus `normalization_trace`.
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* Reject answers if citation `visual_text` and `search_text` disagree on offsets.
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See schema patterns in [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) and tracing in [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md).
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---
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## Copy-paste prompt
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```
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You have TXT OS and the WFGY Problem Map loaded.
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My bug smells like locale drift.
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Question variants: {q_native, q_no_accents, q_width_folded}.
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Traces: ΔS_native=..., ΔS_normalized=..., λ states across three variants.
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Tell me:
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1) which normalization step is missing and why,
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2) the exact WFGY page to open,
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3) the smallest change to push ΔS ≤ 0.45 native and ≤ 0.50 normalized,
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4) a reproducible test with 3 paraphrases and 2 seeds.
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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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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
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| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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