# KhamYo : คำย่อ
Thai abbreviation to full text tool
## Install
> pip install khamyo
## How to use
just call replace function and use it!!!
```python
from khamyo import replace
print(replace("ตอนที่ผมเป็นครูอัตราจ้าง ไปอยู่เวรที่รร.ทุกวัน จนกระทั่งได้บรรจุรับราชการเป็นครู จากนั้นได้เลื่อนตำแหน่งเป็นครูใหญ่รร."))
# output: [
# ('ตอนที่ผมเป็นครูอัตราจ้าง ไปอยู่เวรที่โรงเรียนทุกวัน จนกระทั่งได้บรรจุรับราชการเป็นครู จากนั้นได้เลื่อนตำแหน่งเป็นครูใหญ่โรงเรียน',
# tensor(0.9713)),
# ('ตอนที่ผมเป็นครูอัตราจ้าง ไปอยู่เวรที่โรงเรียนทุกวัน จนกระทั่งได้บรรจุรับราชการเป็นครู จากนั้นได้เลื่อนตำแหน่งเป็นครูใหญ่โรงแรม',
# tensor(0.9595))
# ]
```
## How to work
I use Thai abbreviation dictionary for replace text abbreviation to full text (all possibility) and I use wangchanberta pretrained for Sentence Transformer than chose 2 top-k best results.
You can customize dictionary at ```khamyo/data.json```.
## Licenses
| | License |
|:---|:----|
| Source Code and Notebooks | Apache Software License 2.0 |
| Corpora | [Creative Commons Zero 1.0 Universal Public Domain Dedication License (CC0)](https://creativecommons.org/publicdomain/zero/1.0/)|
## Citations
If you use `KhamYo: Thai abbreviation to full text tool` in your project or publication, please cite the library as follows
```
Wannaphong Phatthiyaphaibun. (2021, July 8). KhamYo: Thai abbreviation to full text tool. GitHub. https://github.com/wannaphong/KhamYo
```
or BibTeX entry:
``` bib
@misc{wannaphong,
author = {Wannaphong Phatthiyaphaibun},
title = {{KhamYo: Thai abbreviation to full text tool}},
month = July,
year = 2021,
publisher = {GitHub},
url = {https://github.com/wannaphong/KhamYo}
}
```
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"description": "# KhamYo : \u0e04\u0e33\u0e22\u0e48\u0e2d\nThai abbreviation to full text tool\n\n## Install\n\n> pip install khamyo\n\n## How to use\n\njust call replace function and use it!!!\n\n```python\nfrom khamyo import replace\n\nprint(replace(\"\u0e15\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e1c\u0e21\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e23\u0e39\u0e2d\u0e31\u0e15\u0e23\u0e32\u0e08\u0e49\u0e32\u0e07 \u0e44\u0e1b\u0e2d\u0e22\u0e39\u0e48\u0e40\u0e27\u0e23\u0e17\u0e35\u0e48\u0e23\u0e23.\u0e17\u0e38\u0e01\u0e27\u0e31\u0e19 \u0e08\u0e19\u0e01\u0e23\u0e30\u0e17\u0e31\u0e48\u0e07\u0e44\u0e14\u0e49\u0e1a\u0e23\u0e23\u0e08\u0e38\u0e23\u0e31\u0e1a\u0e23\u0e32\u0e0a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e23\u0e39 \u0e08\u0e32\u0e01\u0e19\u0e31\u0e49\u0e19\u0e44\u0e14\u0e49\u0e40\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e15\u0e33\u0e41\u0e2b\u0e19\u0e48\u0e07\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e23\u0e39\u0e43\u0e2b\u0e0d\u0e48\u0e23\u0e23.\"))\n# output: [\n# ('\u0e15\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e1c\u0e21\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e23\u0e39\u0e2d\u0e31\u0e15\u0e23\u0e32\u0e08\u0e49\u0e32\u0e07 \u0e44\u0e1b\u0e2d\u0e22\u0e39\u0e48\u0e40\u0e27\u0e23\u0e17\u0e35\u0e48\u0e42\u0e23\u0e07\u0e40\u0e23\u0e35\u0e22\u0e19\u0e17\u0e38\u0e01\u0e27\u0e31\u0e19 \u0e08\u0e19\u0e01\u0e23\u0e30\u0e17\u0e31\u0e48\u0e07\u0e44\u0e14\u0e49\u0e1a\u0e23\u0e23\u0e08\u0e38\u0e23\u0e31\u0e1a\u0e23\u0e32\u0e0a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e23\u0e39 \u0e08\u0e32\u0e01\u0e19\u0e31\u0e49\u0e19\u0e44\u0e14\u0e49\u0e40\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e15\u0e33\u0e41\u0e2b\u0e19\u0e48\u0e07\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e23\u0e39\u0e43\u0e2b\u0e0d\u0e48\u0e42\u0e23\u0e07\u0e40\u0e23\u0e35\u0e22\u0e19',\n# tensor(0.9713)),\n# ('\u0e15\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e1c\u0e21\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e23\u0e39\u0e2d\u0e31\u0e15\u0e23\u0e32\u0e08\u0e49\u0e32\u0e07 \u0e44\u0e1b\u0e2d\u0e22\u0e39\u0e48\u0e40\u0e27\u0e23\u0e17\u0e35\u0e48\u0e42\u0e23\u0e07\u0e40\u0e23\u0e35\u0e22\u0e19\u0e17\u0e38\u0e01\u0e27\u0e31\u0e19 \u0e08\u0e19\u0e01\u0e23\u0e30\u0e17\u0e31\u0e48\u0e07\u0e44\u0e14\u0e49\u0e1a\u0e23\u0e23\u0e08\u0e38\u0e23\u0e31\u0e1a\u0e23\u0e32\u0e0a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e23\u0e39 \u0e08\u0e32\u0e01\u0e19\u0e31\u0e49\u0e19\u0e44\u0e14\u0e49\u0e40\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e15\u0e33\u0e41\u0e2b\u0e19\u0e48\u0e07\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e23\u0e39\u0e43\u0e2b\u0e0d\u0e48\u0e42\u0e23\u0e07\u0e41\u0e23\u0e21',\n# tensor(0.9595))\n# ]\n```\n\n## How to work\n\nI use Thai abbreviation dictionary for replace text abbreviation to full text (all possibility) and I use wangchanberta pretrained for Sentence Transformer than chose 2 top-k best results.\n\nYou can customize dictionary at ```khamyo/data.json```.\n\n## Licenses\n\n| | License |\n|:---|:----|\n| Source Code and Notebooks | Apache Software License 2.0 |\n| Corpora | [Creative Commons Zero 1.0 Universal Public Domain Dedication License (CC0)](https://creativecommons.org/publicdomain/zero/1.0/)|\n\n## Citations\n\nIf you use `KhamYo: Thai abbreviation to full text tool` in your project or publication, please cite the library as follows\n\n```\nWannaphong Phatthiyaphaibun. (2021, July 8). KhamYo: Thai abbreviation to full text tool. GitHub. https://github.com/wannaphong/KhamYo\n```\n\nor BibTeX entry:\n\n``` bib\n@misc{wannaphong,\n author = {Wannaphong Phatthiyaphaibun},\n title = {{KhamYo: Thai abbreviation to full text tool}},\n month = July,\n year = 2021,\n publisher = {GitHub},\n url = {https://github.com/wannaphong/KhamYo}\n}\n```\n",
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