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Grammatical Error Correction: Machine Translation and Classifiers
Alla Rozovskaya
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Dan Roth
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction
Marcin Junczys-Dowmunt
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Roman Grundkiewicz
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Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models
Shamil Chollampatt
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Duc Tam Hoang
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Hwee Tou Ng
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Neural Sequence-Labelling Models for Grammatical Error Correction
Helen Yannakoudakis
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Marek Rei
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Øistein E. Andersen
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Zheng Yuan
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Adapting Sequence Models for Sentence Correction
Allen Schmaltz
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Yoon Kim
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Alexander Rush
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Stuart Shieber
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A Nested Attention Neural Hybrid Model for Grammatical Error Correction
Jianshu Ji
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Qinlong Wang
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Kristina Toutanova
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Yongen Gong
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Steven Truong
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Jianfeng Gao
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Fluency Boost Learning and Inference for Neural Grammatical Error Correction
Tao Ge
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Furu Wei
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Ming Zhou
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Auxiliary Objectives for Neural Error Detection Models
Marek Rei
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Helen Yannakoudakis
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Collecting fluency corrections for spoken learner English
Andrew Caines
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Emma Flint
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Paula Buttery
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Connecting the Dots: Towards Human-Level Grammatical Error Correction
Shamil Chollampatt
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Hwee Tou Ng
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L1-L2 Parallel Dependency Treebank as Learner Corpus
John Lee
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Keying Li
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Herman Leung
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http://cogcomp.cs.illinois.edu/page/
http://cogcomp.cs.illinois.edu/page/
Field Of Study
Task
Machine Translation
Spelling Correction
Language
Chinese
English
Dataset
News
Social Media
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