# Language & Multilingual — Global Fix Map Make cross-lingual RAG stable. Handle CJK/RTL, mixed scripts, tokenizers, and locale drift without breaking retrieval. ## What this page is - A compact playbook for multilingual corpora and queries - Practical fixes for tokenizer and analyzer mismatch - Steps to keep ΔS low across languages and scripts ## When to use - Your corpus has Chinese/Japanese/Korean, RTL scripts, or code-switching - OCR text looks fine but retrieval or citations miss - Similarity is high but meaning is wrong across locales - HyDE/BM25 behave differently per language ## Open these first - Language and locale guide: [Multilingual Guide](https://github.com/onestardao/WFGY/blob/main/ProblemMap/multilingual-guide.md) - Embedding vs true meaning: [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) - OCR quality and pitfalls: [OCR / Parsing Checklist](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ocr-parsing-checklist.md) - Chunk boundaries and joins: [Semantic Chunking Checklist](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md) - Why this snippet: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) - Ordering control: [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md) - Snippet schema: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) --- ## Common failure patterns - **Tokenizer mismatch** dense retriever uses whitespace rules on CJK or splits accents poorly - **Analyzer split** BM25 analyzer differs from the indexer used at write time - **Script variants** Traditional vs Simplified, Kana vs Kanji, Arabic presentation forms - **Normalization gaps** mixed width, NFC/NFKC, punctuation variants break exact matches - **Romanization drift** Pinyin or Hepburn in queries while docs keep native script - **Code-switching** sentences mix English and local terms; embeddings latch to one side - **OCR artifacts** diacritics lost, ligatures broken, zero-width joins preserved - **Stopword shock** default analyzers drop particles that carry meaning in some languages --- ## Fix in 60 seconds 1) **Normalize before anything** Apply NFC or NFKC, collapse widths, unify punctuation. Persist the normalized form you index. 2) **Pick language-aware analyzers** Set BM25 analyzers that match the language at both write and read. Log tokenizer output for a few queries to confirm. 3) **Embed with multilingual models** Use a single multilingual embedding model for mixed corpora. Do not mix English-only and multilingual spaces in one index. 4) **Add transliteration bridges** Generate light alias fields per doc title and key entities, e.g., Traditional ↔ Simplified, Kana ↔ Romaji, Arabic ↔ Latin. 5) **Rerank cross-lingually** Retrieve with generous k, then apply cross-lingual rerankers. Confirm ΔS(question, context) ≤ 0.45. 6) **Lock citations and sections** Use Data Contracts with `section_id`, `source_lang`, and `norm_ops`. Require cite-then-answer to avoid language mixing. 7) **Probe λ across locales** Ask for “cite lines” and “explain why” in both the user language and the source language. Divergence marks the failing boundary. --- ## Copy paste prompt ``` You have TXT OS and the WFGY Problem Map. Goal Stabilize a multilingual RAG corpus with CJK and English. Prevent tokenizer mismatch and script drift. Tasks 1. Show a normalization plan: * Unicode form (NFC/NFKC), width collapse, punctuation unification * sample before/after lines 2. Configure retrieval: * pick analyzers for BM25 that match corpus languages * ensure the same analyzer is used at write and read * use a multilingual embedding model, one index space 3. Add transliteration bridges: * alias fields for key entities (e.g., 簡↔繁, かな↔ローマ字) * show how aliases are added to the index document 4. Verify with WFGY: * compute ΔS(question, context) for three bilingual queries * report λ\_observe at retrieval and reasoning * target ΔS ≤ 0.45 and convergent λ Output * Normalization spec * Analyzer and embedding choices * Example index doc with alias fields * A trace table with citations, ΔS, and λ for 3 queries ``` --- ## Minimal checklist - Unicode normalization applied before embedding and indexing - Language-aware analyzers configured the same for write and read - One multilingual embedding space per index - Alias fields or transliteration for key entities - Data Contract includes `source_lang`, `norm_ops`, and citations - ΔS and λ checks pass in both the user and source language ## Acceptance targets - ΔS(question, context) median ≤ **0.45** for bilingual smoke tests - λ remains **convergent** when switching question language - Citations point to the correct section in the original script - Hybrid retrieval improves with reranking instead of oscillating - No analyzer or tokenizer mismatch logs during queries --- ### 🔗 Quick-Start Downloads (60 sec) | Tool | Link | 3-Step Setup | |------|------|--------------| | **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 + \” | | **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 | --- ### 🧭 Explore More | Module | Description | Link | |-----------------------|----------------------------------------------------------|----------| | 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) | | Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) | | 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) | | Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) | | Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) | | 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) | | 🧙‍♂️ 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) | --- > 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** — > Engineers, hackers, and open source builders who supported WFGY from day one. > 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).
[![WFGY Main](https://img.shields.io/badge/WFGY-Main-red?style=flat-square)](https://github.com/onestardao/WFGY)   [![TXT OS](https://img.shields.io/badge/TXT%20OS-Reasoning%20OS-orange?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS)   [![Blah](https://img.shields.io/badge/Blah-Semantic%20Embed-yellow?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)   [![Blot](https://img.shields.io/badge/Blot-Persona%20Core-green?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)   [![Bloc](https://img.shields.io/badge/Bloc-Reasoning%20Compiler-blue?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)   [![Blur](https://img.shields.io/badge/Blur-Text2Image%20Engine-navy?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)   [![Blow](https://img.shields.io/badge/Blow-Game%20Logic-purple?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)  
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