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Automated Whole Sentence Grammar Correction Using a Noisy Channel Model
Y. Albert Park
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Roger Levy
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Paper Details:
Month: June
Year: 2011
Location: Portland, Oregon, USA
Venue:
ACL |
Citations
URL
Joint Learning and Inference for Grammatical Error Correction
Alla Rozovskaya
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Dan Roth
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Go Climb a Dependency Tree and Correct the Grammatical Errors
Longkai Zhang
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Houfeng Wang
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Measuring the Impact of Spelling Errors on the Quality of Machine Translation
Irina Galinskaya
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Valentin Gusev
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Elena Mescheryakova
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Mariya Shmatova
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Grammatical Error Correction Using Integer Linear Programming
Yuanbin Wu
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Hwee Tou Ng
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Ground Truth for Grammatical Error Correction Metrics
Courtney Napoles
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Keisuke Sakaguchi
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Matt Post
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Joel Tetreault
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Grammatical Error Correction: Machine Translation and Classifiers
Alla Rozovskaya
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Dan Roth
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Modeling Child Divergences from Adult Grammar
Sam Sahakian
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Benjamin Snyder
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High-Order Sequence Modeling for Language Learner Error Detection
Michael Gamon
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Exploring Grammatical Error Correction with Not-So-Crummy Machine Translation
Nitin Madnani
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Joel Tetreault
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Martin Chodorow
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A Tree Transducer Model for Grammatical Error Correction
Jan Buys
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Brink van der Merwe
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A Noisy Channel Model Framework for Grammatical Correction
L. Amber Wilcox-O’Hearn
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Computer-assisted stylistic revision with incomplete and noisy feedback. A pilot study
Christian M. Meyer
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Johann Frerik Koch
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Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction
Allen Schmaltz
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Yoon Kim
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Alexander M. Rush
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Stuart Shieber
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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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Systematically Adapting Machine Translation for Grammatical Error Correction
Courtney Napoles
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Chris Callison-Burch
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http://www.openfst.org
Field Of Study
Task
Machine Translation
Approach
Unsupervised Learning
Language
Chinese
English
Japanese
Korean
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