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.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+models/wordseg_c2_crf.crfsuite filter=lfs diff=lfs merge=lfs -text
+segmentation/segmentation.mmap filter=lfs diff=lfs merge=lfs -text

README.md

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----
-license: mit
----
+---
+license: mit
+language:
+  - my
+tags:
+  - myanmar
+  - burmese
+  - spell-checker
+  - nlp
+  - tokenization
+  - word-segmentation
+pretty_name: myspellchecker Resources
+size_categories:
+  - 100M<n<1B
+---
+
+# myspellchecker-resources
+
+Build-time resources for [myspellchecker](https://github.com/thettwe/myspellchecker) - Myanmar language spell checker.
+
+## Overview
+
+This repository hosts large binary files required by myspellchecker that are too large to bundle with the Python package. Files are downloaded automatically on first use.
+
+## Contents
+
+### segmentation/
+- **segmentation.mmap** (100MB) - Memory-mapped dictionary containing unigram and bigram log probabilities for Myanmar word segmentation using Viterbi algorithm.
+
+### models/
+- **wordseg_c2_crf.crfsuite** (3.2MB) - Conditional Random Fields model for syllable-based word tokenization.
+
+### curated_lexicon/
+- **curated_lexicon.csv** - Curated Myanmar word list with POS tags for spell checking (57,566 entries).
+
+This lexicon is built from the Myanmar Words List and the Ornagai dictionary. Data from the Ornagai dictionary was filtered and cleaned to produce a high-quality, consistent word list suitable for spell checking.
+
+#### Lexicon Tag Distribution
+
+| Tag | Description | Count |
+|-----|-------------|------:|
+| N | Noun | 49,836 |
+| ADJ | Adjective | 3,130 |
+| V | Verb | 2,630 |
+| ADV | Adverb | 997 |
+| TN | Temporal Noun | 231 |
+| ABB | Abbreviation | 193 |
+| PRON | Pronoun | 183 |
+| PART | Particle | 122 |
+| INT | Interjection | 116 |
+| CONJ | Conjunction | 87 |
+| PPM | Post-Positional Marker | 37 |
+| FW | Foreign Word | 4 |
+| **Total** | | **57,566** |
+
+## Technical Notes
+
+### .bin to .mmap Conversion
+
+The segmentation dictionary has been converted from pickle-based `.bin` files to memory-mapped `.mmap` format for:
+
+- **Memory Efficiency** - Lazy loading without loading entire file into RAM
+- **Fork-Safe** - Copy-on-Write (COW) semantics for multiprocessing
+- **Faster Startup** - No pickle deserialization overhead
+- **Security** - Eliminates pickle arbitrary code execution vulnerabilities
+- **Reduced Size** - 100MB consolidated vs 315MB separate .bin files
+
+## Credits & Attribution
+
+### myWord Project
+
+The word segmentation dictionary (`segmentation.mmap`) is derived from the **myWord** project:
+
+- **Repository**: https://github.com/ye-kyaw-thu/myWord
+- **Author**: Ye Kyaw Thu
+- **Description**: Myanmar word segmentation using statistical methods with Viterbi algorithm
+
+We are grateful to the myWord project for providing the foundational word frequency data that powers Myanmar text segmentation.
+
+### myTokenize Project
+
+The CRF model and tokenization framework are based on the **myTokenize** library:
+
+- **Repository**: https://github.com/ye-kyaw-thu/myTokenize
+- **Author**: Ye Kyaw Thu
+
+### Curated Lexicon Sources
+
+The curated lexicon (`curated_lexicon.csv`) is derived from the following sources:
+
+- **Ornagai Dictionary**
+  - **Website**: https://www.ornagai.com
+  - **Description**: Comprehensive Myanmar-English dictionary. Data was filtered and cleaned to extract a consistent, high-quality word list.
+
+- **Myanmar Words List**
+  - **Repository**: https://github.com/myanmartools/myanmar-words
+  - **Description**: Open-source Myanmar word collection.
+
+We are grateful to all contributors for providing foundational data for Myanmar NLP.
+
+## Usage
+
+Resources are downloaded automatically by myspellchecker:
+
+```python
+from myspellchecker import SpellChecker
+
+# Resources download automatically on first use
+checker = SpellChecker()
+```
+
+## Cache Location
+
+Downloaded resources are cached at: `~/.cache/myspellchecker/resources/`
+
+## License
+
+These resources are provided under the same license terms as the original projects. Please refer to the original repositories for specific licensing information.

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