# Language & Multilingual — Global Fix Map A compact hub to **stabilize cross-lingual retrieval and reasoning**. Use this folder when your corpus or queries span CJK, RTL, Indic, Cyrillic, accented Latin, or when users code-switch. --- ## Quick routes to per-page guides * Tokenizer mismatch → [tokenizer\_mismatch.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Language/tokenizer_mismatch.md) * Script mixing in one query → [script\_mixing.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Language/script_mixing.md) * Locale drift and normalization → [locale\_drift.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Language/locale_drift.md) * End-to-end overview and recipes → [multilingual\_guide.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Language/multilingual_guide.md) --- ## When to use this folder * High similarity yet wrong meaning on bilingual or mixed-script corpora * Citations point to the wrong section after translating the question * Hybrid retrievers underperform a single retriever across languages * Index “looks” healthy while coverage remains low for non-Latin scripts * Names flip between native, transliteration, and English aliases * zh-Hans and zh-Hant never co-retrieve, Thai recall collapses without clear reason --- ## Acceptance targets * ΔS(question, retrieved) ≤ 0.45 across language variants * Coverage of the target section ≥ 0.70 after repair * λ remains convergent across three paraphrases and two seeds * E\_resonance stays flat on long windows that mix scripts --- ## Open these first * Visual map and recovery → [rag-architecture-and-recovery.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) * End-to-end retrieval knobs → [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) * Why this snippet, how to cite → [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) * Snippet schema fence → [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) * Embedding vs meaning → [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) * Chunk boundary sanity → [chunking-checklist.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md) --- ## Map symptoms → structural fixes (Problem Map) | Symptom | Likely cause | Open this | | ------------------------------------------ | ----------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Wrong-meaning hits despite high similarity | Embedding not multilingual or pre-norm mismatch | [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) | | Citations jump sections after translation | Snippet schema too loose | [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md), [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) | | zh-Hans/zh-Hant never co-retrieve | Variant mapping missing | [locale\_drift.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Language/locale_drift.md) | | Thai/CJK recall collapses | Tokenizer mismatch, missing segmenter | [tokenizer\_mismatch.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Language/tokenizer_mismatch.md) | | Mixed Latin + CJK query under-recalls | Analyzer split across scripts | [script\_mixing.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Language/script_mixing.md) | | Hybrid retriever worse than single | Query parsing split, mis-weighted rerank | [patterns/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) | --- ## Fix in 60 seconds 1. **Measure ΔS across variants** Run question in source language, target language, and a code-switched version. If ΔS improves only after transliteration or segmentation, language handling is the failing layer. 2. **Probe λ\_observe** Hold citations fixed and flip only script or segmentation. If λ flips, lock schema and unify analyzers. 3. **Apply the smallest change** * Unify index and search analyzers, add Thai/CJK segmenters * Map zh-Hans ↔ zh-Hant at ingest or store in variant subfields * Add alias fields for proper nouns: `native`, `romanized`, `normalized` * Normalize digits, punctuation, and diacritics for RTL/Indic consistently * Use a multilingual embedding; otherwise add a lexical sidecar and deterministic rerank 4. **Verify** Coverage ≥ 0.70 and ΔS ≤ 0.45 across two languages and one mixed query. λ convergent on two seeds. --- ## Store-agnostic quick recipes * Elasticsearch/OpenSearch: ICU normalization, width fold, bigram analyzers for CJK, Thai segmenter, keyword subfields for product names. * Vector stores: pre-normalize identically for corpus and queries, validate with a bilingual gold set, rerank deterministically if embeddings are monolingual. --- ### 🔗 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)