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This dataset contains synthetic training data for grammatical error correction. The corpus is generated by corrupting clean sentences from C4 using a tagged corruption model. The approach and the dataset are described in more detail by Stahlberg and Kumar (2021) (https://www.aclweb.org/anthology/2021.bea-1.4/)
This is a calibration reading list maintained by the Beijing Language and Culture University Intelligent Computer-Assisted Language Learning (ICALL) Research Group.
基于Python的申请信用评分卡模型分析
A grammatical error correction reading list maintained by Beijing Language and Culture University Natural Language Processing Group
A grammatical error correction reading list maintained by BLCU ICALL Research Group
Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
Indonesian OCR Error Correction
Building a specialized automated machine translator for web novels.
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Data-Driven Documents codes.
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