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汉字字符特征提取器 (featurizer)，提取汉字的特征（发音特征、字形特征）用做深度学习的特征 ｜ A Chinese character feature extractor, which extracts the features of Chinese characters (pronunciation features, glyph features) as features for deep learning
| Date | Stars |
|---|---|
| 2026-07-31 | 301 |
| 2026-08-06 | 301 |
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# Hanzi Char Featurizer / 汉字字符特征提取器
[](https://badge.fury.io/py/hanzi-char-featurizer)
[](https://pypi.org/project/hanzi-char-featurizer/)
[](https://opensource.org/licenses/MIT)
Extract multi-dimensional features from Chinese characters for deep learning: phonetic features, glyph features, and structural features.
为深度学习应用提取汉字的多维特征：发音特征、字形特征、结构特征。
## Feature Extractors / 特征提取器
| Extractor / 特征器 | Description / 说明 | Example / 示例 |
|-------------------|-------------------|----------------|
| **PinYinParts** | Pinyin decomposition (initial, final, tone) / 拼音分解（声母、韵母、声调） | `明` → `{m, ing, 2}` |
| **FourCorner** | Four-corner encoding / 四角号码编码 | `明` → `{6, 7, 0, 2, 0}` |
| **ChaiZi** | Radical decomposition / 部首拆解 | `明` → `(日, 月)` |
## Installation / 安装
```bash
pip install hanzi_char_featurizer
```
## Quick Start / 快速开始
```python
from hanzi_char_featurizer import Featurizer
featurizer = Featurizer()
# Extract features / 提取特征
result = featurizer.extract('明天')
print(result)
```
Output / 输出：
```python
{
'pinyin': {
'initial': [['m'], ['t']],
'final': [['ing'], ['ian']],
'tone': [['2'], ['1']]
},
'four_corner': {
'upper_left': ['6', '1'],
'upper_right': ['7', '0'],
'lower_left': ['0', '8'],
'lower_right': ['2', '0'],
'extra': ['0', '4']
}
}
```
## API
```python
# Extract features (returns dict) / 提取特征（返回 dict）
result = featurizer.extract('明天')
# Extract features (returns NumPy arrays) / 提取特征（返回 NumPy 数组）
result = featurizer.extract('明天', as_numpy=True)
# Get vocabulary / 获取词汇表
vocab = featurizer.vocabulary
```
## Using Individual Extractors / 单独使用特征器
```python
from hanzi_char_featurizer.featurizers.four_corner import FourCorner
from hanzi_char_featurizer.featurizers.pinyin_parts import PinYinParts
from hanzi_char_featurizer.featurizers.chaizi import ChaiZi
fc = FourCorner()
fc.extract('明') # {'upper_left': ['6'], 'upper_right': ['7'], ...}
pp = PinYinParts()
pp.extract('明') # {'initial': [['m']], 'final': [['ing']], 'tone': [['2']]}
cz = ChaiZi()
cz.extract('明') # {'components': [('日', '月')]}
```
## Custom Extractor Combination / 自定义特征器组合
```python
from hanzi_char_featurizer import Featurizer
from hanzi_char_featurizer.featurizers.four_corner import FourCorner
# Use only four-corner encoding / 只使用四角编码
featurizer = Featurizer(featurizers=[FourCorner()])
result = featurizer.extract('明天')
```
## Companies Using This / 在使用的公司
<img src="image/huya_tv.png" align="left" height="48">
<br/>
<br/>
## TODO
* Add Unicode IDS representation from iQIYI's FASPell model / 增加 Unicode 的 IDS 表征，来自爱奇艺 FASPell 模型
## License
MIT
Excerpt of 2,868 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e00634241654e9be, llm:Repository topics and description: 'character-level-featurize, chinese-char-feature, chinese-char-feature-dataset, chinese-feature-engineering, feature-engineering, hanzi, hanzi-char-feature'. README: 'A Chinese character feature extractor... extracts features of Chinese characters (pronunciation features, glyph features) as features for deep learning' with API for extracting features and vocab, individual extractor modules (pinyin, four_corner, ChaiZi).
matched fp:e00634241654e9be, llm:Repository topics and description: 'character-level-featurize, chinese-char-feature, chinese-char-feature-dataset, chinese-feature-engineering, feature-engineering, hanzi, hanzi-char-feature'. README: 'A Chinese character feature extractor... extracts features of Chinese characters (pronunciation features, glyph features) as features for deep learning' with API for extracting features and vocab, individual extractor modules (pinyin, four_corner, ChaiZi).
matched fp:e00634241654e9be, llm:Repository topics and description: 'character-level-featurize, chinese-char-feature, chinese-char-feature-dataset, chinese-feature-engineering, feature-engineering, hanzi, hanzi-char-feature'. README: 'A Chinese character feature extractor... extracts features of Chinese characters (pronunciation features, glyph features) as features for deep learning' with API for extracting features and vocab, individual extractor modules (pinyin, four_corner, ChaiZi).