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183 lines
9.6 KiB
Markdown
183 lines
9.6 KiB
Markdown
# Transliteration & Romanization — Global Fix Map
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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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Stabilize queries when users type **Pinyin/Romaji/IAST/RTGS/Buckwalter** variants instead of native scripts.
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Use this page to bridge **native-script ↔ romanized** forms for retrieval, ranking, and reasoning without changing infra.
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---
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## What this page is
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- A compact repair guide for **script-to-roman** mismatches in RAG and search.
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- Concrete schema rules and query tactics that unify **multiple romanization systems** per language.
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- Exact jump links to structural fixes so you can verify with measurable targets.
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## When to use
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- Users type **Pinyin with tone marks vs numbers** or ad-hoc English spellings.
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- Japanese **Hepburn vs Kunrei** differences (“shi/si”, “tsu/tu”; macron “ō” vs “ou”).
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- Korean **Revised RR vs McCune-Reischauer** (“Busan/Pusan”, “Jeju/Cheju”).
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- Arabic/Persian **DIN/Buckwalter/ad-hoc** (“Muhammad/Mohamed/Mohammad”).
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- Cyrillic names produce **Čajkovskij/Chaikovsky/Tchaikovsky** style drift.
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- Greek/Indic/Vietnamese diacritics collapse or fold in unpredictable ways.
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- Native pages index fine, yet **romanized queries miss or rank poorly**.
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---
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## Open these first
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- Visual map and recovery: [rag-architecture-and-recovery.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
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- End-to-end knobs: [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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- Why this snippet: [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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- Payload schema: [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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- Tokenizer fit: [tokenizer_mismatch.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/tokenizer_mismatch.md)
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- Diacritic folding: [diacritics_and_folding.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/diacritics_and_folding.md)
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- Locale drift: [locale_drift.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/locale_drift.md)
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- CJK wordbreaks: [cjk_segmentation_wordbreak.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/cjk_segmentation_wordbreak.md)
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- Mixed scripts in one query: [script_mixing.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/script_mixing.md)
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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 of target section ≥ 0.70.
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- λ remains convergent across two seeds.
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- **Cross-script parity**: romanized query recall ≥ 0.90 of native-script recall on your gold set.
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---
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## Common failure patterns → exact fix
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- **Romanization system mismatch** (e.g., Hepburn vs Kunrei, RR vs MR, DIN vs ad-hoc).
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Lock a canonical key and index both forms.
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Open: [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md), [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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- **Tone marks vs numbers in Pinyin** (“lǐ/lĭ/li3”).
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Add a tone-stripped key and a numeric-tone key, dedupe at index time.
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Open: [diacritics_and_folding.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/diacritics_and_folding.md)
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- **Macrons and long vowels in Romaji** (“ō/oo/ou”).
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Normalize to a canonical long-vowel key and store alternates.
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Open: [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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- **Arabic definite article or spacing drift** (“al Riyadh/Ar-Riyāḍ/Riyadh”).
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Strip articles into a side key; keep original for display.
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Open: [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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- **Query parsing split** under hybrid retrievers when romanized variants explode terms.
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Pin two-stage queries and rerank deterministically.
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Open: [pattern_query_parsing_split.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md), [rerankers.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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---
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## 60-second fix checklist
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1) **Measure ΔS and λ**
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Compute ΔS(question, retrieved). If ΔS ≥ 0.60 and λ flips on small romanization edits, treat as schema/index mismatch.
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2) **Add a Romanization Bridge** (store-agnostic)
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- For each document and title, compute and store:
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- `key_native` = original script
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- `key_roman_primary` = your chosen canonical system per language
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- `key_roman_alt[]` = enumerated alternates (e.g., Hepburn/Kunrei, RR/MR, DIN/ad-hoc, Pinyin tone/number)
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- Index `key_native` and `key_roman_*` in the same record; **dedupe** by stable `doc_id`.
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- At query time, expand to canonical plus alternates, then **rerank**.
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3) **Lock the contract**
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Require fields in the snippet payload:
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`lang`, `script`, `roman_system`, `key_roman_primary`, `key_roman_alt`, `source_url`, `offsets`.
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See: [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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4) **Probe robustness**
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Run a three-paraphrase test: native script, canonical romanization, alternate romanization.
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Targets must meet **Acceptance**.
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---
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## Minimal per-language mapping hints
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- **Chinese**: tone marks ↔ numeric tones; collapse `ü` ↔ `v` in legacy inputs.
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- **Japanese**: macron `ō/ū` ↔ `ou/oo/uu`; “shi/si”, “ji/zi”, “chi/ti”, “tsu/tu”; small “っ/tsu” doubling.
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- **Korean**: RR ↔ MR pairs (“Busan/Pusan”, “Jeju/Cheju”, “Gyeong/ Kyŏng”).
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- **Arabic/Persian**: articles `al-/el-` optional; hamza/ta marbuta variants; DIN ↔ Buckwalter map.
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- **Indic (IAST/ISO/Harvard-Kyoto)**: `ś/ṣ/ñ/ṭ/ḍ` ↔ `sh/sh/ny/t/d`.
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- **Cyrillic**: `Ч/ч` ↔ `Ch/Č`, `Ю/ю` ↔ `Yu/Iu`, etc., preserve soft sign loss with an alternate key.
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- **Greek**: `Μιχάλης` ↔ `Michalis/Michales`; handle `mp/nt` digraphs.
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Document your choices inside `roman_system` so audits are reproducible.
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---
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## Copy-paste prompt (LLM step)
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```
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You have TXT OS and the WFGY Problem Map loaded.
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My multilingual issue:
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* symptom: romanized queries miss or rank poorly vs native script
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* traces: ΔS(question,retrieved)=..., λ states across native/roman/alternate
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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 Romanization Bridge to add (keys + query expansion),
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4. how to verify with coverage ≥ 0.70 and ΔS ≤ 0.45 across three paraphrases.
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Reference: retrieval-playbook, retrieval-traceability, data-contracts, diacritics\_and\_folding.
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```
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---
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## Next planned file in `LanguageLocale/`
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- **mixed_numeric_systems.md** ← numbers written in native digits vs ASCII, year/era systems, and counters.
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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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