# Keyboard Input Methods — Guardrails and Fix Pattern

A focused guide for bugs that originate from IME composition on Windows, macOS, Linux, iOS, and Android. Scope includes CJK IMEs (Pinyin, Wubi, Kana/Kanji, 2-set/3-set), Indic transliteration, RTL keyboards, and mixed fullwidth/halfwidth states. Use this when text looks fine to the eye but retrieval or validation behaves inconsistently across devices.

## When to use this page

* Reports say “works on Mac, fails on Windows IME” or “mobile input breaks search.”
* Fields contain invisible marks after copy or composition (ZWJ, ZWNJ, NBSP, RLM/LRM).
* Users toggle fullwidth digits or punctuation and recall suddenly collapses.
* Romanization IMEs produce composed characters that differ from pasted text.

## Open these first

* Visual map and recovery: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
* End to end retrieval knobs: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
* Multilingual overview: [Multilingual Guide](https://github.com/onestardao/WFGY/blob/main/ProblemMap/multilingual-guide.md)
* Tokenizer mismatch: [Tokenizer Mismatch](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/tokenizer_mismatch.md)
* CJK word breaks: [CJK Segmentation & Wordbreak](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/cjk_segmentation_wordbreak.md)
* RTL markers and controls: [RTL & Bidi Controls](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/rtl_bidi_controls.md)
* Script mixing: [Script Mixing](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/script_mixing.md)
* Diacritics: [Diacritics & Folding](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/diacritics_and_folding.md)
* Snippet schema: [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)

## Core acceptance

* ΔS(question, retrieved) ≤ 0.45
* Coverage of target section ≥ 0.70
* λ\_observe remains convergent across 3 paraphrases, 2 seeds, and 2 devices
* E\_resonance stays flat on long input windows

---

## Failure smells

* “Cannot reproduce” until tester types through an IME rather than pasting.
* Same glyphs, different bytes. Equality checks fail, search misses.
* Index recall drops after mobile users enable fullwidth digits.
* Mixed NBSP and normal space in otherwise identical queries.
* Sporadic RTL flip caused by stray RLM/LRM from bidirectional typing.

---

## Fix in 60 seconds

1. **Normalize early**
   On every input boundary apply NFC, width fold, and punctuation fold. Remove ZWJ, ZWNJ, LRM, RLM unless explicitly allowed by schema.

2. **Stabilize tokenization**
   Lock analyzers and tokenizers used for both indexing and querying. If ΔS remains high and flat after IME normalization, revisit metric and analyzer pairing in the store. See [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md).

3. **Contract the payload**
   For forms and tool calls, require fields that capture canonical and raw strings: `raw`, `normalized`, `locale`, `ime_mode`, `width_state`. Enforce this in your [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md).

4. **Probe λ**
   Run the same query by paste, by IME typing, and by mobile. If λ flips only for IME-typed paths, you have an input normalization gap.

---

## IME-safe schema (copy block)

Use this contract for any user text that enters retrieval or matching.

```json
{
  "text": {
    "raw": "<exact keystroke result>",
    "normalized": "<NFC + width_fold + punct_fold + bidi_strip>",
    "locale": "zh-TW | zh-CN | ja-JP | ko-KR | hi-IN | ...",
    "ime_mode": "pinyin | wubi | kana | romaji | 2set | 3set | translit | rtl",
    "width_state": "half | full | mixed",
    "bidi_marks": ["RLM","LRM","ZWJ","ZWNJ","NBSP"]
  }
}
```

Store both `raw` and `normalized`. Index `normalized`. Retain `raw` for audits and display.

---

## Normalization and folding rules

| Issue                             | Action                         | Notes                                               |
| --------------------------------- | ------------------------------ | --------------------------------------------------- |
| Composition variance (NFD vs NFC) | Convert to NFC                 | Prevents byte inequality for identical glyphs       |
| Fullwidth digits and Latin        | Width fold to ASCII            | Keep CJK letters untouched                          |
| Smart quotes, ellipsis, dashes    | Punctuation fold to ASCII set  | Avoid tokenizer splits that differ by device        |
| Zero-width characters (ZWJ, ZWNJ) | Strip by default               | Allow only if explicitly required by language rules |
| Bidi controls (LRM, RLM)          | Strip at input for LTR schemas | Keep only in rich text fields, never in keys        |
| NBSP, thin space                  | Map to normal space            | Collapse runs of spaces to a single space           |
| Kana halfwidth/fullwidth          | Fold within script             | Keep semantic marks like voiced sound when needed   |
| Romanization IMEs                 | Canonicalize case and spacing  | For JP/KR/Indic transliteration paths               |

---

## Tests you should run

* **Triplet equality**: paste vs IME vs mobile should produce identical `normalized`.
* **Search parity**: same top-k ordering after normalization across devices.
* **Width flip test**: force fullwidth digits and punctuation, verify recall remains constant.
* **Bidi contamination**: inject RLM/LRM in the middle, verify strip or deterministic handling.
* **ΔS plateaus**: if ΔS remains ≥ 0.60 after normalization, suspect metric mismatch or fragmentation and jump to [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) and [Vectorstore Fragmentation](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md).

---

## Escalate with these pages

* Tokenizer and analyzer coupling: [Tokenizer Mismatch](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/tokenizer_mismatch.md)
* Script collisions and mixed runs: [Script Mixing](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/script_mixing.md)
* CJK segmentation: [CJK Segmentation & Wordbreak](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/cjk_segmentation_wordbreak.md)
* RTL handling: [RTL & Bidi Controls](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/LanguageLocale/rtl_bidi_controls.md)
* Traceable answers: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)

---

### 🔗 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 + \<your question>”   |
| **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.

> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="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).

<div align="center">

[![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)
 

</div>