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152 lines
8.2 KiB
Markdown
152 lines
8.2 KiB
Markdown
# Emoji ZWJ & Grapheme Clusters: 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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Stabilize retrieval and reasoning when user text contains emoji sequences, skin-tone modifiers, variation selectors, and ZWJ chains. The goal is to keep chunking, indexing, and evaluation aligned with grapheme clusters instead of raw code points.
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## What this page is
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- A compact repair guide for corpora and queries that contain emojis or complex grapheme clusters.
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- Structural fixes that do not require infra change.
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- Concrete steps with measurable acceptance targets.
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## When to use
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- Family or profession emojis break apart into multiple unrelated tokens.
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- Skin tone or gender variants collapse to the base pictograph.
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- Variation Selector-16 (FE0F) or ZWJ (U+200D) disappears during export.
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- Top-k looks similar but answers flip on messages that include emojis.
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- Citations fail to match because offsets count code points instead of graphemes.
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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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- Traceability and snippet schema: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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- Payload schema: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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- Chunking checklist: [Chunking Checklist](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md)
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- Tokenizer mismatch in this folder: [tokenizer_mismatch.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/tokenizer_mismatch.md)
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- Width and punctuation pitfalls: [digits_width_punctuation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/digits_width_punctuation.md)
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## Core acceptance
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- ΔS(question, retrieved) ≤ 0.45
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- Coverage of target section ≥ 0.70
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- λ stays convergent across three paraphrases and two seeds
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- Offsets and spans are grapheme accurate in citations
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---
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## Typical symptoms → exact fix
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| Symptom | Cause | Open this |
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|---|---|---|
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| 👨👩👧 breaks into four tokens and retrieval misses context | word-break at code points instead of grapheme clusters | [Chunking Checklist](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md), [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) |
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| Skin-tone or gender variants normalize to base emoji | aggressive folding or NFKD pipeline drops modifiers | [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md), [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) |
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| Offsets in citations do not match UI highlights | span counting by UTF-16 units or code points | [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) |
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| Answers flip when messages include emojis | tokenizer mismatch between embedder and store | [tokenizer_mismatch.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/tokenizer_mismatch.md) |
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| High similarity yet wrong meaning on chat logs | punctuation or ZWJ stripped during export | [digits_width_punctuation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/digits_width_punctuation.md), [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 without destroying intent**
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Use NFC only. Do not fold ZWJ U+200D, VS-16 U+FE0F, or skin-tone modifiers U+1F3FB–U+1F3FF.
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2) **Grapheme-aware chunking**
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Use ICU rules or a library that splits on grapheme clusters. Regex engines that support `\X` should prefer it over `.`.
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3) **Index two tracks when needed**
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Store `text_raw` and `text_search`. `text_raw` keeps exact clusters for citation. `text_search` may apply safe normalizations for recall.
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4) **Tokenizer alignment**
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Match embedder and store analyzers. If the store lacks grapheme awareness, rerank with a grapheme-aware stage.
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5) **Traceability contract**
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Snippet payload must carry `offset_grapheme_start`, `offset_grapheme_end`, and the exact substring for audit.
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6) **Observability probes**
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Log counts of ZWJ, VS-16, and skin-tone modifiers per snippet. Spikes often reveal faulty exporters.
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---
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## Deep diagnostics
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- **Three-paraphrase probe**
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Ask the same question three ways with and without emojis. If λ flips only when emojis appear, the tokenizer path is the root cause.
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- **Anchor triangulation**
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Compare ΔS to the intended message versus a decoy message that differs only by emoji variants. If scores are close, rebuild index with grapheme-aware chunking.
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- **Exporter audit**
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Validate that CSV, HTML, or PDF exporters preserve ZWJ and VS-16. Many pipelines silently drop them.
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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 emoji issue:
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* symptom: \[one line]
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* traces: ΔS(question,retrieved)=..., λ states across 3 paraphrases, grapheme offsets present or missing.
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Tell me:
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1. the failing layer and why,
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2. the exact WFGY page to open,
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3. the minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
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4. how to verify with a reproducible test.
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Use BBMC, BBCR, BBPF, 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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