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README.md CHANGED
@@ -31,7 +31,28 @@ This repository hosts large binary files required by myspellchecker that are too
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  - **wordseg_c2_crf.crfsuite** (3.2MB) - Conditional Random Fields model for syllable-based word tokenization.
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  ### pos_data/
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- - **combined_pos_seed.csv** (15MB) - POS-tagged Myanmar words for grammar checking.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Technical Notes
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  - **Repository**: https://github.com/ye-kyaw-thu/myTokenize
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  - **Author**: Ye Kyaw Thu
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  ## Usage
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  Resources are downloaded automatically by myspellchecker:
 
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  - **wordseg_c2_crf.crfsuite** (3.2MB) - Conditional Random Fields model for syllable-based word tokenization.
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  ### pos_data/
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+ - **myspellcheck_pos.csv** - POS-tagged Myanmar words for grammar checking (49,681 entries).
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+
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+ #### POS Tag Distribution
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+
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+ | Tag | Description | Count |
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+ |-----|-------------|------:|
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+ | N | Noun | 26,871 |
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+ | V | Verb | 11,770 |
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+ | ADJ | Adjective | 7,157 |
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+ | ADV | Adverb | 3,013 |
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+ | P | Particle | 195 |
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+ | NUM | Number | 165 |
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+ | CONJ | Conjunction | 163 |
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+ | PRO | Pronoun | 137 |
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+ | P_MOD | Modifier Particle | 73 |
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+ | ABB | Abbreviation | 56 |
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+ | INT | Interjection | 50 |
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+ | P_SENT | Sentence-ending Particle | 19 |
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+ | P_LOC | Location Particle | 7 |
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+ | P_SUBJ | Subject Particle | 3 |
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+ | P_OBJ | Object Particle | 2 |
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+ | **Total** | | **49,681** |
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  ## Technical Notes
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  - **Repository**: https://github.com/ye-kyaw-thu/myTokenize
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  - **Author**: Ye Kyaw Thu
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+ ### POS Data Sources
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+
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+ The POS-tagged word list (`myspellcheck_pos.csv`) is a combination of multiple sources:
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+
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+ - **Ornagai Dictionary**
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+ - **Website**: https://www.ornagai.com
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+ - **Description**: Comprehensive Myanmar-English dictionary with POS annotations
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+
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+ - **Myanmar Words List**
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+ - **Repository**: https://github.com/myanmartools/myanmar-words
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+ - **Description**: Open-source Myanmar word collection
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+
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+ - **myPOS Corpus**
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+ - **Repository**: https://github.com/ye-kyaw-thu/myPOS
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+ - **Author**: Ye Kyaw Thu
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+ - **Description**: Myanmar Part-of-Speech tagged corpus (version 3.0)
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+
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+ We are grateful to all contributors for providing foundational data for Myanmar NLP.
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+
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  ## Usage
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  Resources are downloaded automatically by myspellchecker:
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