README.md

---
language: 
- zh
tags:
- chatglm
- pytorch
- zh
- Text2Text-Generation
license: bigscience-bloom-rail-1.0
widget:
- text: "对下面中文拼写纠错：\n少先队员因该为老人让坐。\n答："

---

# Chinese language Model(kenlm)
kenlm language model:

- big model: zh_giga.no_cna_cmn.prune01244.klm
- small model: people2014corpus_chars.klm
## Usage

本项目开源在 pycorrector 项目：[pycorrector](https://github.com/shibing624/pycorrector)，可支持kenlm模型，通过如下命令调用：

Install package:
```shell
pip install -U pycorrector
```

```python
from pycorrector import Corrector
model = Corrector(language_model_path='people2014corpus_chars.klm')
print(model.correct('少先队员因该为老人让坐')) # ['少先队员应该为老人让座。']
```

如果需要训练文本纠错模型，请参考[https://github.com/shibing624/pycorrector](https://github.com/shibing624/pycorrector)



## Citation

```latex
@software{pycorrector,
  author = {Ming Xu},
  title = {pycorrector: Text Error Correction Tool},
  year = {2023},
  url = {https://github.com/shibing624/pycorrector},
}
```