UM-Checker: A hybrid system for English grammatical error correction

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	UM-Checker: A hybrid system for English grammatical error correction
	Xing，Junwen; Wang，Longyue; Wong，Derek F.; Chao，Lidia S.; Zeng，Xiaodong
	2013
Source Publication	CoNLL 2013 - 17th Conference on Computational Natural Language Learning, Proceedings of the Shared Task
Pages	34-42
Abstract	This paper describes the NLPCT 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 spell-checking 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 graph-based 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 and 3 F scores on official test set among all 17 participating teams based on gold-standard edits before and after revision, respectively.
URL	View the original
Language	英語English
Scopus ID	2-s2.0-84951331085
Fulltext Access	View Full-Text via Scopus
Citation statistics
Document Type	Conference paper
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation	Natural Language Processing and Portuguese-Chinese Machine Translation Laboratory,Department of Computer and Information Science,University of Macau,Macau S.A.R.,China
First Author Affilication	University of Macau
Recommended Citation GB/T 7714	Xing，Junwen,Wang，Longyue,Wong，Derek F.,et al. UM-Checker: A hybrid system for English grammatical error correction[C], 2013, 34-42.
APA	Xing，Junwen., Wang，Longyue., Wong，Derek F.., Chao，Lidia S.., & Zeng，Xiaodong (2013). UM-Checker: A hybrid system for English grammatical error correction. CoNLL 2013 - 17th Conference on Computational Natural Language Learning, Proceedings of the Shared Task, 34-42.

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