A Python package for working with GEC data in .m2 files
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Updated
May 29, 2021 - Python
A Python package for working with GEC data in .m2 files
Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
Grammatical Error Correction at the character level using Reformers.
Gramify - A Grammatical Error Corrector, that not only corrects the error but also shows what type of error has been made along with visualization through graph, which shows type of error made on the basis of count.
Tool for converting error corpora to parallel datasets
Textshine is a seq2seq model for grammatical error correction.
Grammar Error Correction Based on Tensor2Tensor
Grammatical Error Correction with Contrastive Learning in Low Error Density Domains
Sequence to sequence learning for GEC task using several deep models.
Neural Grammatical Error Correction for Romanian using Transformer
Code, models, and data for "Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation". EMNLP 2023.
Repository of "An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction" (EMNLP-IJCNLP 2019)
MuCGEC中文纠错数据集及文本纠错SOTA模型开源;Code & Data for our NAACL 2022 Paper "MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction"
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