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UM-Checker: A Hybrid System for English Grammatical Error Correction
Junwen Xing; Longyue Wang; Derek F. Wong; Lidia S. Chao; Xiaodong Zeng
2013
Conference Namethe Seventeenth Conference on Computational Natural Language Learning: Shared Task
Source PublicationProceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task
Pages34–42
Conference DateAugust 8-9 2013
Conference PlaceSofia, Bulgaria
Abstract

This paper describes the NLP2CT Grammatical Error Detection and Correction system for the CoNLL 2013 shared task, with a focus on the errors of article or determiner (ArtOrDet), noun number (Nn), preposition (Prep), verb form (Vform) and subject-verb agreement (SVA). A hybrid model is adopted for this special task. The process starts with spellchecking as a preprocessing step to correct any possible erroneous word. We used a Maximum Entropy classifier together with manually rule-based filters to detect the grammatical errors in English. A language model based on the Google N-gram corpus was employed to select the best correction candidate from a confusion matrix. We also explored a graphbased label propagation approach to overcome the sparsity problem in training the model. Finally, a number of deterministic rules were used to increase the precision and recall. The proposed model was evaluated on the test set consisting of 50 essays and with about 500 words in each essay. Our system achieves the 5 th and 3rd F1 scores on official test set among all 17 participating teams based on goldstandard edits before and after revision, respectively.

Language英语
Fulltext Access
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationNatural Language Processing & Portuguese-Chinese Machine Translation Laboratory, Department of Computer and Information Science, University of Macau, Macau S.A.R., China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Junwen Xing,Longyue Wang,Derek F. Wong,et al. UM-Checker: A Hybrid System for English Grammatical Error Correction[C],2013:34–42.
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