Chinese Grammatical Error Diagnosis

Last update: Nov 25, 2022

Related tags

Text Data & NLP nlp-CGED

Overview

nlp-CGED

Chinese Grammatical Error Diagnosis
中文语法纠错研究基于序列标注的方法

所需环境

Python==3.6
tensorflow==1.14.0
keras==2.3.1
bert4keras==0.10.6
笔者使用了开源的bert4keras，一个keras版的transformer模型库。bert4keras的更多介绍参见这里。

项目目录

├── bert4keras
├── data 存放数据
├── pretrained_model 存放预训练模型
├── models 存放CRF等算法
├── CGED_train.py 训练代码
├── CGED_predict.py 评估和测试代码

数据集

数据集采用的CGED官方提供转换为序列标注的形式，具体可以看data中的数据

使用说明

1.下载预训练语言模型
可采用BERT-Base, Chinese等模型
更多的预训练语言模型可参见bert4keras给出的权重。
2.构建数据集(数据集已处理好)
train.json和test.json
3.训练模型

python CGED_train.py

4.评估和测试

python CGED_predict.py

结果

数据集	f1	precision	recall
test	0.46373	0.48993	0.44019

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