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The Ups and Downs of Preposition Error Detection in ESL Writing
Joel R. Tetreault
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Martin Chodorow
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Paper Details:
Month: August
Year: 2008
Location: Manchester, UK
Venue:
COLING |
Citations
URL
Generating Learner-Like Morphological Errors in Russian
Markus Dickinson
|
Exploring the Data-Driven Prediction of Prepositions in English
Anas Elghafari
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Detmar Meurers
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Holger Wunsch
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SRL-Based Verb Selection for ESL
Xiaohua Liu
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Bo Han
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Kuan Li
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Stephan Hyeonjun Stiller
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Ming Zhou
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Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models
Wei Xu
|
Joel Tetreault
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Martin Chodorow
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Ralph Grishman
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Le Zhao
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A Beam-Search Decoder for Grammatical Error Correction
Daniel Dahlmeier
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Hwee Tou Ng
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Assessment of ESL Learners’ Syntactic Competence Based on Similarity Measures
Su-Youn Yoon
|
Suma Bhat
|
Joint Learning and Inference for Grammatical Error Correction
Alla Rozovskaya
|
Dan Roth
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Go Climb a Dependency Tree and Correct the Grammatical Errors
Longkai Zhang
|
Houfeng Wang
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System Combination for Grammatical Error Correction
Raymond Hendy Susanto
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Peter Phandi
|
Hwee Tou Ng
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Neural Sequence-Labelling Models for Grammatical Error Correction
Helen Yannakoudakis
|
Marek Rei
|
Øistein E. Andersen
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Zheng Yuan
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Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings
Masahiro Kaneko
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Yuya Sakaizawa
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Mamoru Komachi
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Leveraging Native Data to Correct Preposition Errors in Learners’ Dutch
Lennart Kloppenburg
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Malvina Nissim
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Using Mostly Native Data to Correct Errors in Learners’ Writing
Michael Gamon
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Correcting Comma Errors in Learner Essays, and Restoring Commas in Newswire Text
Ross Israel
|
Joel Tetreault
|
Martin Chodorow
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Stylometric Analysis of Scientific Articles
Shane Bergsma
|
Matt Post
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David Yarowsky
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Robust Systems for Preposition Error Correction Using Wikipedia Revisions
Aoife Cahill
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Nitin Madnani
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Joel Tetreault
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Diane Napolitano
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Grammatical error correction using neural machine translation
Zheng Yuan
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Ted Briscoe
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Using Parse Features for Preposition Selection and Error Detection
Joel Tetreault
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Jennifer Foster
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Martin Chodorow
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Grammatical Error Correction with Alternating Structure Optimization
Daniel Dahlmeier
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Hwee Tou Ng
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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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They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems
Nitin Madnani
|
Martin Chodorow
|
Joel Tetreault
|
Alla Rozovskaya
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Grammatical Error Correction Using Integer Linear Programming
Yuanbin Wu
|
Hwee Tou Ng
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Shallow Analysis Based Assessment of Syntactic Complexity for Automated Speech Scoring
Suma Bhat
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Huichao Xue
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Su-Youn Yoon
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Predicting Grammaticality on an Ordinal Scale
Michael Heilman
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Aoife Cahill
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Nitin Madnani
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Melissa Lopez
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Matthew Mulholland
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Joel Tetreault
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A CALL System for Learning Preposition Usage
John Lee
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Donald Sturgeon
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Mengqi Luo
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Compositional Sequence Labeling Models for Error Detection in Learner Writing
Marek Rei
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Helen Yannakoudakis
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Personalized Exercises for Preposition Learning
John Lee
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Mengqi Luo
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What Makes Writing Great? First Experiments on Article Quality Prediction in the Science Journalism Domain
Annie Louis
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Ani Nenkova
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Using First and Second Language Models to Correct Preposition Errors in Second Language Authoring
Matthieu Hermet
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Alain Désilets
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User Input and Interactions on Microsoft Research ESL Assistant
Claudia Leacock
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Michael Gamon
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Chris Brockett
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GenERRate: Generating Errors for Use in Grammatical Error Detection
Jennifer Foster
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Oistein Andersen
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Annotating ESL Errors: Challenges and Rewards
Alla Rozovskaya
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Dan Roth
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Search right and thou shalt find ... Using Web Queries for Learner Error Detection
Michael Gamon
|
Claudia Leacock
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Rethinking Grammatical Error Annotation and Evaluation with the Amazon Mechanical Turk
Joel Tetreault
|
Elena Filatova
|
Martin Chodorow
|
Building a Korean Web Corpus for Analyzing Learner Language
Markus Dickinson
|
Ross Israel
|
Sun-Hee Lee
|
Improved Natural Language Learning via Variance-Regularization Support Vector Machines
Shane Bergsma
|
Dekang Lin
|
Dale Schuurmans
|
Helping Our Own: Text Massaging for Computational Linguistics as a New Shared Task
Robert Dale
|
Adam Kilgarriff
|
Developing Methodology for Korean Particle Error Detection
Markus Dickinson
|
Ross Israel
|
Sun-Hee Lee
|
High-Order Sequence Modeling for Language Learner Error Detection
Michael Gamon
|
E-rating Machine Translation
Kristen Parton
|
Joel Tetreault
|
Nitin Madnani
|
Martin Chodorow
|
Predicting Learner Levels for Online Exercises of Hebrew
Markus Dickinson
|
Sandra Kübler
|
Anthony Meyer
|
Detection and Correction of Preposition and Determiner Errors in English: HOO 2012
Pinaki Bhaskar
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Aniruddha Ghosh
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Santanu Pal
|
Sivaji Bandyopadhyay
|
NUS at the HOO 2012 Shared Task
Daniel Dahlmeier
|
Hwee Tou Ng
|
Eric Jun Feng Ng
|
Precision Isn’t Everything: A Hybrid Approach to Grammatical Error Detection
Michael Heilman
|
Aoife Cahill
|
Joel Tetreault
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HOO 2012 Error Recognition and Correction Shared Task: Cambridge University Submission Report
Ekaterina Kochmar
|
Øistein Andersen
|
Ted Briscoe
|
UM-Checker: A Hybrid System for English Grammatical Error Correction
Junwen Xing
|
Longyue Wang
|
Derek F. Wong
|
Lidia S. Chao
|
Xiaodong Zeng
|
Grammatical Error Correction as Multiclass Classification with Single Model
Zhongye Jia
|
Peilu Wang
|
Hai Zhao
|
A Noisy Channel Model Framework for Grammatical Correction
L. Amber Wilcox-O’Hearn
|
A Hybrid Model For Grammatical Error Correction
Yang Xiang
|
Bo Yuan
|
Yaoyun Zhang
|
Xiaolong Wang
|
Wen Zheng
|
Chongqiang Wei
|
Grammatical Error Detection and Correction using a Single Maximum Entropy Model
Peilu Wang
|
Zhongye Jia
|
Hai Zhao
|
An Explicit Feedback System for Preposition Errors based on Wikipedia Revisions
Nitin Madnani
|
Aoife Cahill
|
Automatic morphological analysis of learner Hungarian
Scott Ledbetter
|
Markus Dickinson
|
Model Combination for Correcting Preposition Selection Errors
Nitin Madnani
|
Michael Heilman
|
Aoife Cahill
|
Network Motifs May Improve Quality Assessment of Text Documents
Thomas Arnold
|
Karsten Weihe
|
Auxiliary Objectives for Neural Error Detection Models
Marek Rei
|
Helen Yannakoudakis
|
Annotating picture description task responses for content analysis
Levi King
|
Markus Dickinson
|
http://creativecommons.org/licenses/by-nc-sa/3.0/
Field Of Study
Task
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Language
English
Japanese
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