A Comprehensive Survey of Grammar Error Correction

A Comprehensive Survey of Grammar Error Correction

2 May 2020

Papers citing "A Comprehensive Survey of Grammar Error Correction"

10 / 10 papers shown

Title
On the (In)Effectiveness of Large Language Models for Chinese Text Correction Hai-Tao Zheng Haojing Huang Shirong Ma Yong-jia Jiang Yong Li F. Zhou Haitao Zheng Qingyu Zhou 34 42 0 18 Jul 2023
Grammatical Error Correction: A Survey of the State of the Art Christopher Bryant Zheng Yuan Muhammad Reza Qorib Hannan Cao Hwee Tou Ng Ted Briscoe 3DV 29 79 0 09 Nov 2022
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction Shirong Ma Hai-Tao Zheng Rongyi Sun Qingyu Zhou Shulin Huang ... Ruiyang Liu Zhongli Li Yunbo Cao Haitao Zheng Ying Shen 26 25 0 19 Oct 2022
uChecker: Masked Pretrained Language Models as Unsupervised Chinese Spelling Checkers Piji Li 21 10 0 15 Sep 2022
Some Grammatical Errors are Frequent, Others are Important Leshem Choshen Ofir Shifman Omri Abend 14 0 0 11 May 2022
FRUIT: Faithfully Reflecting Updated Information in Text Robert L Logan IV Alexandre Passos Sameer Singh Ming-Wei Chang KELM 31 40 0 16 Dec 2021
How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus Chanjun Park Seolhwa Lee Hyeonseok Moon Sugyeong Eo Jaehyung Seo Heuiseok Lim 22 5 0 30 Oct 2021
TREATED:Towards Universal Defense against Textual Adversarial Attacks Bin Zhu Zhaoquan Gu Le Wang Zhihong Tian AAML 36 8 0 13 Sep 2021
Data Weighted Training Strategies for Grammatical Error Correction Jared Lichtarge Chris Alberti Shankar Kumar 23 46 0 07 Aug 2020
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task Marcin Junczys-Dowmunt Roman Grundkiewicz Shubha Guha Kenneth Heafield 33 192 0 16 Apr 2018