ChineseErrorCorrector3 4B 🇨🇳中文 English ChineseErrorCorrector3 4B is part of a comprehensive platform for Chinese text correction, integrating academic research, model training, evaluation, and inference. It covers two core directions: Spelling Correction (CSC) and Grammatical Error Correction (CGEC). The methodology behind this line of models is presented in the paper CSRP: Chain of Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency Aware Rewards. Project Page: ChineseErrorCorrector GitHub Paper: arXiv:2606.00020 模型描述 一个面向中文文本纠错任务的综合平台，集学术研究、模型训练、模型评测和推理部署于一体，覆盖拼写纠错与语法纠错两个核心方向。 twnlp/ChineseErrorCorrector3 4B : 使用200万纠错数据进行全量训练，适用于语法纠错和拼写纠错，效果最好，推荐使用。 模型评测（NaCGEC Data） Model Name Base Model Avg SIGHAN 2015 EC LAW MCSC GPU QPS : : : : : : : : ChatGLM3 6B CSC THUDM/chatglm3 6b 0.4538 0.6572 0.4369 0.2672 GPU 3 Qwen2.5 1.5B CTC Qwen/Qwen2.5 1.5B Instruct 0.6802 0.3032 0.7846 0.9529 GPU 6 Qwen2.5 7B CTC Qwen/Qwen2.5 7B Instruct 0.8225 0.4917 0.9798 0.9959 GPU 3 Qwen3 4B CTC(Our) Qwen/Qwen3 4B 0.8521 0.6340 0.9360 0.9864 GPU 5 Sample Usage You can use the model with the transformers library as follows: Citation If you find this work helpful, pleas…
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