https://github.com/howl-anderson/hanzi_chaizi
汉字拆字库，可以将汉字拆解成偏旁部首，在机器学习中作为汉字的字形特征 | Hanzi Decomposition Library allows Chinese characters to be broken down into radicals and components, which can be used as character shape features in machine learning.
https://github.com/howl-anderson/hanzi_chaizi
chinese chinese-characters components hanzi radicals strokes
Last synced: 7 months ago
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汉字拆字库，可以将汉字拆解成偏旁部首，在机器学习中作为汉字的字形特征 | Hanzi Decomposition Library allows Chinese characters to be broken down into radicals and components, which can be used as character shape features in machine learning.
- Host: GitHub
- URL: https://github.com/howl-anderson/hanzi_chaizi
- Owner: howl-anderson
- License: apache-2.0
- Created: 2018-11-29T10:14:19.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2024-10-17T04:04:57.000Z (about 1 year ago)
- Last Synced: 2025-03-31T23:31:48.871Z (8 months ago)
- Topics: chinese, chinese-characters, components, hanzi, radicals, strokes
- Language: Python
- Homepage:
- Size: 469 KB
- Stars: 366
- Watchers: 3
- Forks: 59
- Open Issues: 12
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# Hanzi decomposition (Chinese character decomposition) | 汉字拆字
> 拆字是指將一文字，以筆畫、字形等基本組成單位分解成多個文字。
> The decomposition of characters refers to breaking down a single character into multiple characters based on its basic components, such as strokes and structural elements.
> 汉字拆字让字型相似的字具有相似的拆解结果。
> Hanzi decomposition yields similar decomposition results for characters with similar structures.
> 这种特性可以被深度学习模型用来作为字的特征之一：字形的特征。
> This feature can be used by deep learning models as one of the features of characters: the structural feature.
## Installation
```bash
pip install hanzi_chaizi
```
## Usage
```python
from hanzi_chaizi import HanziChaizi
hc = HanziChaizi()
result = hc.query('名')
print(result)
```
Output:
```text
['夕', '口']
```
## Development
### Data source
Data from this project: [漢語拆字字典](https://github.com/kfcd/chaizi)
### parsing and convert data format
```bash
pytohn dev_scripts/parse.py
```
## Credits
Data from this project: [漢語拆字字典](https://github.com/kfcd/chaizi)
## Citation
```
@misc{kong2018hanzichaizi,
title={Hanzi Chaizi},
author={Xiaoquan Kong},
howpublished={https://github.com/howl-anderson/hanzi_chaizi},
year={2018}
}
```
If the package is cited in books, seminars, and academic research papers, or used in company products, you are welcome (but not required) to email me about this. I'm glad to see the package being used and valuable to everyone.