Comments (2)
shibing624
commented on August 25, 2024
1.训练集里面指定，只纠错音似错误就可以；
2.用自己改好的训练集，再训练一版模型。
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joseph16388
commented on August 25, 2024
1.训练集里面指定，只纠错音似错误就可以； 2.用自己改好的训练集，再训练一版模型。
好的,3Q！进一步问一下，你说的指定就是只选取纠错音似的数据集吧？
比如下面这个：
SIGHAN+Wang271K中文纠错数据集(27万条)，是通过原始SIGHAN13、14、15年数据集和Wang271K数据集格式转化后得到，json格式，带错误字符位置信息，SIGHAN为test.json， macbert4csc模型训练可以直接用该数据集复现paper准召结果。
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Related Issues (20)
- 使用pip install -U pycorrector安装pycorrector最新版本后，测试运行报错 HOT 1
- Tokenizer类实现问题 HOT 2
- T5模型预测的时候一直为0 HOT 3
- 请问针对非对称长度的文本纠错（冗余、缺失等），评估指标应该选哪些呢？ HOT 1
- 能否更新下docker HOT 1
- 新版本macbert4csc中ConfusionCorrector实现逻辑问题 HOT 2
- AttributeError: 'bert' object has no attribute 'save_pretrained'
- ValueError: Expected input batch_size (2400) to match target batch_size (2304) HOT 7
- 可以基于你发布的hf的模型再训练吗？ HOT 5
- 现在大模型+prompt效果就特别好
- 如何提升检出率 HOT 6
- AttributeError: 'MacBertCorrector' object has no attribute 'correct_batch' HOT 3
- 使用T5进行检测
- 老师你好！关于数据集的问题 HOT 3
- 英文纠错en_spell_corrector.py的性能问题 HOT 1
- MacBert是否支持混淆集？ HOT 1
- 请问在文本纠错时，可以设置置信度吗，或者可以返回置信度吗？ HOT 1
- 训练MacBert4Csc时报错 HOT 1
- linux 环境下安装异常，求大佬帮忙看下 HOT 1
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