Status已發表Published
Factored statistical machine translation for grammatical error correction
Wang,Yiming; Wang,Longyue; Wong,Derek F.; Chao,Lidia S.; Zeng,Xiaodong; Lu,Yi
2014
Source PublicationCoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task
Pages83-90
AbstractThis paper describes our ongoing work on grammatical error correction (GEC). Focusing on all possible error types in a real-life environment, we propose a factored statistical machine translation (SMT) model for this task. We consider error correction as a series of language translation problems guided by various linguistic information, as factors that influence translation results. Factors included in our study are morphological information, i.e. word stem, prefix, suffix, and Part-of-Speech (PoS) information. In addition, we also experimented with different combinations of translation models (TM), phrase-based and factor-based, trained on various datasets to boost the overall performance. Empirical results show that the proposed model yields an improvement of 32.54% over a baseline phrase-based SMT model. The system participated in the CoNLL 2014 shared task and achieved the 7 and 5 F scores on the official test set among the thirteen participating teams.
DOI10.3115/v1/w14-1711
URLView the original
Language英語English
Scopus ID2-s2.0-85003993954
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationNatural Language Processing and Portuguese-Chinese Machine Translation Laboratory,Department of Computer and Information Science,University of Macau,Macau,China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wang,Yiming,Wang,Longyue,Wong,Derek F.,et al. Factored statistical machine translation for grammatical error correction[C], 2014, 83-90.
APA Wang,Yiming., Wang,Longyue., Wong,Derek F.., Chao,Lidia S.., Zeng,Xiaodong., & Lu,Yi (2014). Factored statistical machine translation for grammatical error correction. CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task, 83-90.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang,Yiming]'s Articles
[Wang,Longyue]'s Articles
[Wong,Derek F.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang,Yiming]'s Articles
[Wang,Longyue]'s Articles
[Wong,Derek F.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang,Yiming]'s Articles
[Wang,Longyue]'s Articles
[Wong,Derek F.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.