“With the development of education and the widespread use of the internet, the scale of essay evaluation has increased, making the cost and efficiency of manual grading a significant challenge. To address this, The Twenty-third China National Conference on Computational Linguistics (CCL2024) established evaluation contest for essay fluency. This competition has three tracks corresponding to three sub-tasks. This paper conducts a detailed analysis of different tasks,employing the BERT model as well as the latest popular large language models Qwen to address these sub-tasks. As a result, our overall scores for the three tasks reached 37.26, 42.48, and 47.64.”