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Near Human-Level Performance in Grammatical Error Correction with Hybrid
  Machine Translation

Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation

16 April 2018
Roman Grundkiewicz
Marcin Junczys-Dowmunt
ArXivPDFHTML

Papers citing "Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation"

6 / 6 papers shown
Title
Grammatical Error Correction: A Survey of the State of the Art
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
Latexify Math: Mathematical Formula Markup Revision to Assist
  Collaborative Editing in Math Q&A Sites
Latexify Math: Mathematical Formula Markup Revision to Assist Collaborative Editing in Math Q&A Sites
Suyu Ma
Chunyang Chen
Hourieh Khalajzadeh
J. Grundy
HAI
AIMat
24
5
0
20 Sep 2021
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
20
312
0
04 Dec 2019
Denoising based Sequence-to-Sequence Pre-training for Text Generation
Denoising based Sequence-to-Sequence Pre-training for Text Generation
Liang Wang
Wei-Ye Zhao
Ruoyu Jia
Sujian Li
Jingming Liu
VLM
AI4CE
39
37
0
22 Aug 2019
Neural Grammatical Error Correction with Finite State Transducers
Neural Grammatical Error Correction with Finite State Transducers
Felix Stahlberg
Christopher Bryant
Bill Byrne
27
28
0
25 Mar 2019
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented
  Architecture with Unlabeled Data
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
Wei-Ye Zhao
Liang Wang
Kewei Shen
Ruoyu Jia
Jingming Liu
16
210
0
01 Mar 2019
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