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Local sequence transduction (LST) tasks are sequence transduction tasks where there exists massive overlapping between the source and target sequences, such as Grammatical Error Correction (GEC) and spell or OCR correction.
Synchronous bidirectional inference for neural sequence generation
Jiajun Zhang, Long Zhou, Yang Zhao, and Chengqing Zong. 2019a · 1902
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 1909
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Sequence-to-sequence pre-training with data augmentation for sentence rewriting
Yi Zhang, Tao Ge, Furu Wei, Ming Zhou, and Xu Sun. 2019b · 1909
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Parallel iterative edit models for local sequence transduction
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, and Vihari Piratla. 2019 · 1910
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Improving grammatical error correction with machine translation pairs
Wangchunshu Zhou, Tao Ge, Chang Mu, Ke Xu, Furu Wei, and Ming Zhou. 2019a · 1911
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A statistical approach to automatic ocr error correction in context
Xiang Tong and David A Evans. 1996 · 1996
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The computer learner corpus: a versatile new source of data for SLA research
Sylviane Granger. 1998 · 1998
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Towards minimal supervision bert-based grammar error correction
Yiyuan Li, Antonios Anastasopoulos, and Alan W Black. 2020 · 2001
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Automatic grammar correction for second-language learners
John Lee and Stephanie Seneff. 2006 · 2006
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A mixed trigrams approach for context sensitive spell checking
Davide Fossati and Barbara Di Eugenio. 2007 · 2007
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Typo corpus
Eiji Aramaki. 2010 · 2010
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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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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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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 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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Local string transduction as sequence labeling
Joana Ribeiro, Shashi Narayan, Shay B Cohen, and Xavier Carreras. 2018 · 2018
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Asynchronous bidirectional decoding for neural machine translation
Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, and Hongji Wang. 2018 · 2018
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Modeling past and future for neural machine translation
Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, and Zhaopeng Tu. 2018 · 2018
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Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Data-driven spelling correction using weighted finite-state methods
Miikka Silfverberg, Pekka Kauppinen, Krister Lindén, et al. 2016 · 2016
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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
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Deliberation networks: Sequence generation beyond one-pass decoding
Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, and Tie-Yan Liu. 2017 · 2017
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Alibaba’s neural machine translation systems for wmt18
Yongchao Deng, Shanbo Cheng, Jun Lu, Kai Song, Jingang Wang, Shenglan Wu, Liang Yao, Guchun Zhang, Haibo Zhang, Pei Zhang, et al. 2018 · 2018
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Bert-based lexical substitution
Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, and Ming Zhou. 2019b
Cited in the paper.
The bea-2019 shared task on grammatical error correction
Christopher Bryant, Mariano Felice, Øistein E Andersen, and Ted Briscoe. 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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An empirical study of incorporating pseudo data into grammatical error correction
Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, and Kentaro Inui. 2019 · 2019
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Encode, tag, realize: High-precision text editing
Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, and Aliaksei Severyn. 2019 · 2019
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Tied transformers: Neural machine translation with shared encoder and decoder
Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, and Tao Qin. 2019 · 2019
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