#python #csc #error_correction #error_detection #kenlm #macbert4csc #pycorrector #spelling_errors #t5
The **pycorrector** tool is a powerful Python library for correcting Chinese text errors. It supports various types of corrections, including phonetic, shape, and grammatical errors. Here are the key benefits pycorrector implements several models such as Kenlm, ConvSeq2Seq, BERT, MacBERT, ELECTRA, ERNIE, and GPT, allowing you to choose the best model for your needs.
- **Easy Installation** The library provides simple APIs for correcting texts, detecting errors, and even handling custom confusion sets and proper names.
- **Performance** You can train your own models using your dataset and integrate custom language models or confusion sets to improve accuracy.
Overall, pycorrector makes it easy to correct Chinese text errors efficiently and accurately, making it a valuable tool for anyone working with Chinese text data.
https://github.com/shibing624/pycorrector
The **pycorrector** tool is a powerful Python library for correcting Chinese text errors. It supports various types of corrections, including phonetic, shape, and grammatical errors. Here are the key benefits pycorrector implements several models such as Kenlm, ConvSeq2Seq, BERT, MacBERT, ELECTRA, ERNIE, and GPT, allowing you to choose the best model for your needs.
- **Easy Installation** The library provides simple APIs for correcting texts, detecting errors, and even handling custom confusion sets and proper names.
- **Performance** You can train your own models using your dataset and integrate custom language models or confusion sets to improve accuracy.
Overall, pycorrector makes it easy to correct Chinese text errors efficiently and accurately, making it a valuable tool for anyone working with Chinese text data.
https://github.com/shibing624/pycorrector
GitHub
GitHub - shibing624/pycorrector: pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，Qwen2.5…
pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，Qwen2.5等模型应用在纠错场景，开箱即用。 - shibing624/pycorrector