Correction Detection and Error Type Selection as an ESL Educational Aid
| Title: | Correction Detection and Error Type Selection as an ESL Educational Aid |
| Author: |
Yamangil, Elif; Swanson, Ben
Note: Order does not necessarily reflect citation order of authors. |
| Citation: | Swanson, Ben and Elif Yamangil. 2012. Correction Detection and Error Type Selection as an ESL Educational Aid. In Proceedings North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Montreal, Canada, June 3-8, 2012. Association for Computational Linguistics. 357-361. |
| Full Text & Related Files: |
N12-1037.pdf (135.9Kb; PDF) 
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| Abstract: | We present a classifier that discriminates between types of corrections made by teachers of English in student essays. We define a set of linguistically motivated feature templates for a log-linear classification model, train this classifier on sentence pairs extracted from the Cambridge Learner Corpus, and achieve 89% accuracy improving upon a 33% baseline. Furthermore, we incorporate our classifier into a novel application that takes as input a set of corrected essays that have been sentence aligned with their originals and outputs the individual corrections classified by error type. We report the F-Score of our implementation on this task. |
| Published Version: | http://aclweb.org/anthology/N/N12/N12-1037.pdf |
| Terms of Use: | This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA |
| Citable link to this page: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:12305804 |
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