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GenERRate: generating errors for use in grammatical error detection

Foster, Jennifer and Andersen, Øistein E. (2009) GenERRate: generating errors for use in grammatical error detection. In: NAACL 2009 - The 4th Workshop on Innovative Use of NLP for Building Educational Applications, 5 June 2009, Boulder, USA.

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Abstract

This paper explores the issue of automatically generated ungrammatical data and its use in error detection, with a focus on the task of classifying a sentence as grammatical or ungrammatical. We present an error generation tool called GenERRate and show how GenERRate can be used to improve the performance of a classifier on learner data. We describe initial attempts to replicate Cambridge Learner Corpus errors using GenERRate.

Item Type:	Conference or Workshop Item (Paper)
Event Type:	Workshop
Refereed:	Yes
Uncontrolled Keywords:	grammatical error detection; grammatical error generation;
Subjects:	Computer Science > Machine translating
DCU Faculties and Centres:	Research Initiatives and Centres > National Centre for Language Technology (NCLT) DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:	The Association for Computational Linguistics
Official URL:	http://www.cs.rochester.edu/~tetreaul/naacl-bea4.html
Copyright Information:	© 2009 The Association for Computational Linguistics
Use License:	This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:	15184
Deposited On:	16 Feb 2010 10:04 by DORAS Administrator. Last Modified 16 Feb 2010 10:04

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