Document Type
Conference Proceeding
Publication Date
10-19-2010
Journal / Book Title
Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference Flairs 23
Abstract
This paper presents an approach to the automatic classification of article errors in non-native (L2) English writing, using data chosen from the MELD corpus that was purposely selected to contain only cases with article errors. We report on two experiments on the data: one to assess the performance of different machine learning algorithms in predicting correct article usage, and the other to determine the feasibility of using the MELD data to identify which linguistic properties of the noun phrase containing the article are the most salient with respect to the classification of errors in article usage. Copyright © 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Montclair State University Digital Commons Citation
Pradhan, Aliva M.; Varde, Aparna S.; Peng, Jing; and Fitzpatrick, Eileen M., "Automatic classification of article errors in L2 written english" (2010). Department of Computer Science Faculty Scholarship and Creative Works. 653.
https://digitalcommons.montclair.edu/compusci-facpubs/653
Rights
Copyright © 2010, Association for the Advancement of Artificial Intelligence. This conference paper has been made Open Access under license by the publisher.