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2
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Algorithm Selection and Model Adaptation for ESL Correction Tasks
– Alla Rozovskaya, Dan Roth
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A Beam-Search Decoder for Grammatical Error Correction
– Daniel Dahlmeier, Hwee Tou Ng
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Using Statistical Techniques and Web Search to Correct ESL Errors
– unknown authors
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9
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The ups and downs of preposition error detection in ESL writing
– Joel R. Tetreault, Martin Chodorow
- 2008
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8
|
Generating Confusion Sets for Context-Sensitive Error Correction
– Alla Rozovskaya, Dan Roth
|
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NAACL’10 Workshop on Innovative Use of NLP for Building Educational Applications Annotating ESL Errors: Challenges and Rewards
– Alla Rozovskaya, Dan Roth
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7
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Annotating ESL Errors: Challenges and Rewards
– Alla Rozovskaya, Dan Roth
|
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5
|
Native Judgments of Non-Native Usage: Experiments in Preposition Error Detection
– Joel R. Tetreault, Martin Chodorow
|
|
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Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models
– Wei Xu C
|
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Examining the Use of Region Web Counts for ESL Error Detection
– Joel R. Tetreault, Martin Chodorow
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Syntax-Driven Machine Translation as a Model of ESL Revision
– unknown authors
|
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Large-Scale Semi-Supervised Learning for Natural Language Processing
– Shane Bergsma
- 2010
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CALICO Journal, 26(3)
– Diane M. Napolitano, A Stent
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Educational Testing Service
– unknown authors
|
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Educational Testing Service
– unknown authors
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|
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Human Evaluation of Article and Noun Number Usage: Influences of Context and Construction Variability
– John Lee, Joel Tetreault, Martin Chodorow
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NAACL’10 Training Paradigms for Correcting Errors in Grammar and Usage
– Alla Rozovskaya, Dan Roth
|
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4
|
Exploring the Data-Driven Prediction of Prepositions in English
– Anas Elghafari, Detmar Meurers, Holger Wunsch, Universität Tübingen
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1
|
University of Illinois System in HOO Text Correction Shared Task
– Alla Rozovskaya, Mark Sammons, Joshua Gioja, Dan Roth
|
