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dc.contributor.authorSwanson, Ben
dc.contributor.authorYamangil, Elif
dc.date.accessioned2014-06-11T13:04:52Z
dc.date.issued2012
dc.identifierQuick submit: 2013-09-10T20:31:18-04:00
dc.identifier.citationSwanson, 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.en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:12305804
dc.description.abstractWe 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.en_US
dc.description.sponsorshipEngineering and Applied Sciencesen_US
dc.language.isoen_USen_US
dc.publisherAssociation for Computational Linguisticsen_US
dc.relation.isversionofhttp://aclweb.org/anthology/N/N12/N12-1037.pdfen_US
dash.licenseLAA
dc.titleCorrection Detection and Error Type Selection as an ESL Educational Aiden_US
dc.typeConference Paperen_US
dc.date.updated2013-09-11T00:31:55Z
dc.description.versionVersion of Recorden_US
dc.rights.holderBen Swanson, Elif Yamangil
dc.relation.journalProceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologiesen_US
dash.depositing.authorYamangil, Elif
dc.date.available2014-06-11T13:04:52Z
dash.contributor.affiliatedYamangil, Elif


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