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The incorporation of pseudo data in the training of grammatical error correction models has been one of the main factors in improving the performance of such models.
The computer learner corpus: A versatile new source of data for SLA research
Sylviane Granger. 1998 · 1998
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Mining Revision Log of Language Learning SNS for Automated Japanese Error Correction of Second Language Learners
Tomoya Mizumoto, Mamoru Komachi, Masaaki Nagata, and Yuji Matsumoto. 2011 · 2011
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A New Dataset and Method for Automatically Grading ESOL Texts
Helen Yannakoudakis, Ted Briscoe, and Ben Medlock. 2011 · 2011
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Better Evaluation for Grammatical Error Correction
Daniel Dahlmeier and Hwee Tou Ng. 2012 · 2012
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Tense and Aspect Error Correction for ESL Learners Using Global Context
Toshikazu Tajiri, Mamoru Komachi, and Yuji Matsumoto. 2012 · 2012
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Building a Large Annotated Corpus of Learner English: The NUS Corpus of Learner English
Daniel Dahlmeier, Hwee Tou Ng, and Siew Mei Wu. 2013 · 2013
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The CoNLL-2014 Shared Task on Grammatical Error Correction
Hwee Tou Ng, Siew Mei Wu, Ted Briscoe, Christian Hadiwinoto, Raymond Hendy Susanto, and Christopher Bryant. 2014 · 2014
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Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
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Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Adam: A Method for Stochastic Optimization
Diederik Kingma and Jimmy Ba. 2015 · 2015
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Ground Truth for Grammatical Error Correction Metrics
Courtney Napoles, Keisuke Sakaguchi, Matt Post, and Joel Tetreault. 2015 · 2015
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Automatic Extraction of Learner Errors in ESL Sentences Using Linguistically Enhanced Alignments
Mariano Felice, Christopher Bryant, and Ted Briscoe. 2016 · 2016
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Courtney Napoles, Keisuke Sakaguchi, Matt Post, and Joel Tetreault. 2016 · 2016
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Edinburgh neural machine translation systems for WMT 16
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016a · 2016
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Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016b · 2016
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Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016c · 2016
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna. 2016 · 2016
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Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction
Understanding Back-Translation at Scale
Sergey Edunov, Myle Ott, Michael Auli, and David Grangier. 2018 · 2018
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Fluency Boost Learning and Inference for Neural Grammatical Error Correction
Tao Ge, Furu Wei, and Ming Zhou. 2018 · 2018
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Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation
Roman Grundkiewicz and Marcin Junczys-Dowmunt. 2018 · 2018
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Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task
Marcin Junczys-Dowmunt, Roman Grundkiewicz, Shubha Guha, and Kenneth Heafield. 2018 · 2018
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Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Noam Shazeer and Mitchell Stern. 2018 · 2018
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Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction
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Christopher Bryant, Mariano Felice, and Ted Briscoe. 2017 · 2017
Cited alongside, same era.
A Nested Attention Neural Hybrid Model for Grammatical Error Correction
Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong, and Jianfeng Gao. 2017 · 2017
Cited alongside, same era.
Six Challenges for Neural Machine Translation
Philipp Koehn and Rebecca Knowles. 2017 · 2017
Cited alongside, same era.
JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction
Courtney Napoles, Keisuke Sakaguchi, and Joel Tetreault. 2017 · 2017
Cited alongside, same era.
The university of Edinburgh’s neural MT systems for WMT17
Rico Sennrich, Alexandra Birch, Anna Currey, Ulrich Germann, Barry Haddow, Kenneth Heafield, Antonio Valerio Miceli Barone, and Philip Williams. 2017 · 2017
Cited alongside, same era.
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
Shamil Chollampatt and Hwee Tou Ng. 2018 · 2018
Cited alongside, same era.
Ziang Xie, Guillaume Genthial, Stanley Xie, Andrew Ng, and Dan Jurafsky. 2018 · 2018
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Developing an Automated Writing Placement system for ESL Learners
Helen Yannakoudakis, Øistein E. Andersen, Ardeshir Geranpayeh, Ted Briscoe, and Diane Nicholls. 2018 · 2018
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The AIP-Tohoku System at the BEA-2019 Shared Task
Hiroki Asano, Masato Mita, Tomoya Mizumoto, and Jun Suzuki. 2019 · 2019
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Neural grammatical error correction systems with unsupervised pre-training on synthetic data
Roman Grundkiewicz, Marcin Junczys-Dowmunt, and Kenneth Heafield. 2019 · 2019
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Corpora Generation for Grammatical Error Correction
Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, and Simon Tong. 2019 · 2019
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fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
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Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, and Jingming Liu. 2019 · 2019
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