Detecting erroneous sentences using automatically mined sequential patterns
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics |
| Pages | 81-88 |
| Publication status | Published - 2007 |
| Externally published | Yes |
Conference
| Title | 45th Annual Meeting of the Association for Computational Linguistics, ACL 2007 |
|---|---|
| Place | Czech Republic |
| City | Prague |
| Period | 23 - 30 June 2007 |
Link(s)
Abstract
This paper studies the problem of identifying erroneous/correct sentences. The problem has important applications, e.g., providing feedback for writers of English as a Second Language, controlling the quality of parallel bilingual sentences mined from the Web, and evaluating machine translation results. In this paper, we propose a new approach to detecting erroneous sentences by integrating pattern discovery with supervised learning models. Experimental results show that our techniques are promising. © 2007 Association for Computational Linguistics.
Citation Format(s)
Detecting erroneous sentences using automatically mined sequential patterns. / Sun, Guihua; Liu, Xiaohua; Cong, Gao et al.
ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics. 2007. p. 81-88.
ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics. 2007. p. 81-88.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
