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English | [简体中文](README.md)
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## News
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+ Our new work SynGEC has been accepted by EMNLP2022. In this paper, we propose a SynGEC model that can utilize GEC-oriented tailored syntax and get SOTA performance (e.g., 45.32/46.51 F0.5 scores on NLPCC-18 and MuCGEC-Test), respectively. Welcome to test it! Link: [[Link]](https://github.com/HillZhang1999/SynGEC)
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+ We have uploaded the full MuCGEC dataset to this [link](https://github.com/HillZhang1999/MuCGEC/tree/main/data/MuCGEC) and opened a leaderboard at [Tianchi Platform](https://tianchi.aliyun.com/dataset/dataDetail?dataId=131328#4), welcome to submit your results!
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+ We have released a part of MuCGEC dataset at [Tianchi Platform](https://tianchi.aliyun.com/dataset/dataDetail?dataId=131328), welcome to download and test!

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