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Approaching Neural Grammatical Error Correction as a Low-Resource
  Machine Translation Task

Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task

16 April 2018
Marcin Junczys-Dowmunt
Roman Grundkiewicz
Shubha Guha
Kenneth Heafield
ArXiv (abs)PDFHTML

Papers citing "Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task"

38 / 88 papers shown
Context-aware Stand-alone Neural Spelling Correction
Context-aware Stand-alone Neural Spelling CorrectionFindings (Findings), 2020
Xiangci Li
Hairong Liu
Liang Huang
LRM
173
9
0
12 Nov 2020
Chinese Grammatical Correction Using BERT-based Pre-trained Model
Chinese Grammatical Correction Using BERT-based Pre-trained Model
Hongfei Wang
Michiki Kurosawa
Satoru Katsumata
Mamoru Komachi
160
14
0
04 Nov 2020
Classifying Syntactic Errors in Learner Language
Classifying Syntactic Errors in Learner Language
Leshem Choshen
Dmitry Nikolaev
Yevgeni Berzak
Omri Abend
253
21
0
21 Oct 2020
A Self-Refinement Strategy for Noise Reduction in Grammatical Error
  Correction
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
Masato Mita
Shun Kiyono
Masahiro Kaneko
Jun Suzuki
Kentaro Inui
134
15
0
07 Oct 2020
Adversarial Grammatical Error Correction
Adversarial Grammatical Error CorrectionFindings (Findings), 2020
Vipul Raheja
Dimitrios Alikaniotis
152
11
0
06 Oct 2020
Recurrent Inference in Text Editing
Recurrent Inference in Text EditingFindings (Findings), 2020
Ning Shi
Ziheng Zeng
Haotian Zhang
Yichen Gong
KELM
149
2
0
26 Sep 2020
Recent Trends in the Use of Deep Learning Models for Grammar Error
  Handling
Recent Trends in the Use of Deep Learning Models for Grammar Error Handling
Mina Naghshnejad
Tarun Joshi
V. Nair
VLM
145
7
0
04 Sep 2020
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine
  Translation Task
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation TaskPacific Asia Conference on Language, Information and Computation (PACLIC), 2020
Pinzhen Chen
Kenneth Heafield
VLM
164
1
0
12 Aug 2020
Data Weighted Training Strategies for Grammatical Error Correction
Data Weighted Training Strategies for Grammatical Error CorrectionTransactions of the Association for Computational Linguistics (TACL), 2020
Jared Lichtarge
Chris Alberti
Shankar Kumar
238
50
0
07 Aug 2020
Personalizing Grammatical Error Correction: Adaptation to Proficiency
  Level and L1
Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1
Maria Nadejde
Joel R. Tetreault
139
23
0
04 Jun 2020
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether
  Self-Training Helps Them
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them
Dawid Jurkiewicz
Łukasz Borchmann
Izabela Kosmala
Filip Graliñski
107
43
0
16 May 2020
A Comprehensive Survey of Grammar Error Correction
A Comprehensive Survey of Grammar Error Correction
Yu Wang
Yuelin Wang
Jie Liu
Zhuowei Liu
266
39
0
02 May 2020
Pseudo-Bidirectional Decoding for Local Sequence Transduction
Pseudo-Bidirectional Decoding for Local Sequence TransductionFindings (Findings), 2020
Wangchunshu Zhou
Tao Ge
Ke Xu
213
3
0
31 Jan 2020
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings
  and Grammatical Errors
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical ErrorsInternational Conference on Language Resources and Evaluation (LREC), 2019
Masato Hagiwara
Masato Mita
161
36
0
28 Nov 2019
Learning Multi-level Dependencies for Robust Word Recognition
Learning Multi-level Dependencies for Robust Word RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2019
Z. Wang
Hui Liu
Shucheng Zhou
Songfan Yang
Gale Yan Huang
Zitao Liu
115
8
0
22 Nov 2019
Automatically Neutralizing Subjective Bias in Text
Automatically Neutralizing Subjective Bias in TextAAAI Conference on Artificial Intelligence (AAAI), 2019
Reid Pryzant
Richard Diehl Martinez
Nathan Dass
Sadao Kurohashi
Dan Jurafsky
Diyi Yang
262
196
0
21 Nov 2019
Improving Grammatical Error Correction with Machine Translation Pairs
Improving Grammatical Error Correction with Machine Translation PairsFindings (Findings), 2019
Wangchunshu Zhou
Tao Ge
Chang Mu
Ke Xu
Furu Wei
M. Zhou
258
43
0
07 Nov 2019
Parallel Iterative Edit Models for Local Sequence Transduction
Parallel Iterative Edit Models for Local Sequence TransductionConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Abhijeet Awasthi
Sunita Sarawagi
Rasna Goyal
Sabyasachi Ghosh
Vihari Piratla
KELM
283
155
0
07 Oct 2019
Controllable Data Synthesis Method for Grammatical Error Correction
Controllable Data Synthesis Method for Grammatical Error Correction
Liner Yang
Chencheng Wang
Yuxiang Chen
Yongping Du
Erhong Yang
275
17
0
29 Sep 2019
Sequence-to-sequence Pre-training with Data Augmentation for Sentence
  Rewriting
Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting
Yi Zhang
Tao Ge
Furu Wei
Ming Zhou
Xu Sun
218
19
0
13 Sep 2019
CUNI System for the Building Educational Applications 2019 Shared Task:
  Grammatical Error Correction
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction
Jakub Náplava
Milan Straka
136
7
0
12 Sep 2019
Encode, Tag, Realize: High-Precision Text Editing
Encode, Tag, Realize: High-Precision Text EditingConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Eric Malmi
Sebastian Krause
S. Rothe
Daniil Mirylenka
Aliaksei Severyn
3DV
230
183
0
03 Sep 2019
An Empirical Study of Incorporating Pseudo Data into Grammatical Error
  Correction
An Empirical Study of Incorporating Pseudo Data into Grammatical Error CorrectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Shun Kiyono
Jun Suzuki
Masato Mita
Tomoya Mizumoto
Kentaro Inui
161
155
0
02 Sep 2019
Denoising based Sequence-to-Sequence Pre-training for Text Generation
Denoising based Sequence-to-Sequence Pre-training for Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Liang Wang
Wei Zhao
Ruoyu Jia
Sujian Li
Jingming Liu
VLMAI4CE
180
40
0
22 Aug 2019
Tree-Transformer: A Transformer-Based Method for Correction of
  Tree-Structured Data
Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data
Jacob A. Harer
Christopher P. Reale
Peter Chin
200
48
0
01 Aug 2019
A Neural Grammatical Error Correction System Built On Better
  Pre-training and Sequential Transfer Learning
A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning
Yo Joong Choe
Jiyeon Ham
Kyubyong Park
Yeoil Yoon
127
88
0
02 Jul 2019
ENCORE: Ensemble Learning using Convolution Neural Machine Translation
  for Automatic Program Repair
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair
Thibaud Lutellier
L. Pang
H. Pham
Moshi Wei
Lin Tan
121
22
0
20 Jun 2019
Context is Key: Grammatical Error Detection with Contextual Word
  Representations
Context is Key: Grammatical Error Detection with Contextual Word Representations
Samuel J. Bell
H. Yannakoudakis
Marek Rei
166
46
0
15 Jun 2019
Learning to combine Grammatical Error Corrections
Learning to combine Grammatical Error Corrections
Yoav Kantor
Yoav Katz
Leshem Choshen
Edo Cohen-Karlik
Naftali Liberman
Assaf Toledo
Amir Menczel
Noam Slonim
143
31
0
10 Jun 2019
The Unreasonable Effectiveness of Transformer Language Models in
  Grammatical Error Correction
The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction
Dimitrios Alikaniotis
Vipul Raheja
104
25
0
04 Jun 2019
Corpora Generation for Grammatical Error Correction
Corpora Generation for Grammatical Error Correction
Jared Lichtarge
C. Alberti
Shankar Kumar
Noam M. Shazeer
Niki Parmar
Simon Tong
152
144
0
10 Apr 2019
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction
  Models --- Is Single-Corpus Evaluation Enough?
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models --- Is Single-Corpus Evaluation Enough?
Masato Mita
Tomoya Mizumoto
Masahiro Kaneko
Ryo Nagata
Kentaro Inui
ELM
163
20
0
05 Apr 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 DataNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Wei Zhao
Liang Wang
Kewei Shen
Ruoyu Jia
Jingming Liu
337
227
0
01 Mar 2019
Weakly Supervised Grammatical Error Correction using Iterative Decoding
Weakly Supervised Grammatical Error Correction using Iterative Decoding
Jared Lichtarge
C. Alberti
Shankar Kumar
Noam M. Shazeer
Niki Parmar
114
22
0
31 Oct 2018
How do you correct run-on sentences it's not as easy as it seems
How do you correct run-on sentences it's not as easy as it seems
Junchao Zheng
Courtney Napoles
Joel R. Tetreault
Kostiantyn Omelianchuk
89
4
0
21 Sep 2018
Neural Machine Translation of Text from Non-Native Speakers
Neural Machine Translation of Text from Non-Native Speakers
Antonios Anastasopoulos
Alison Lui
Toan Q. Nguyen
David Chiang
197
33
0
19 Aug 2018
Reaching Human-level Performance in Automatic Grammatical Error
  Correction: An Empirical Study
Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study
Tao Ge
Furu Wei
M. Zhou
369
87
0
03 Jul 2018
Marian: Fast Neural Machine Translation in C++
Marian: Fast Neural Machine Translation in C++
Marcin Junczys-Dowmunt
Roman Grundkiewicz
Tomasz Dwojak
Hieu T. Hoang
Kenneth Heafield
...
Ulrich Germann
Alham Fikri Aji
Nikolay Bogoychev
André F. T. Martins
Alexandra Birch
448
763
0
01 Apr 2018
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