A meta learning approach to grammatical error correction

  • Authors:
  • Hongsuck Seo;Jonghoon Lee;Seokhwan Kim;Kyusong Lee;Sechun Kang;Gary Geunbae Lee

  • Affiliations:
  • Pohang University of Science and Technology;Pohang University of Science and Technology;Institute for Infocomm Research;Pohang University of Science and Technology;Pohang University of Science and Technology;Pohang University of Science and Technology

  • Venue:
  • ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
  • Year:
  • 2012

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Abstract

We introduce a novel method for grammatical error correction with a number of small corpora. To make the best use of several corpora with different characteristics, we employ a meta-learning with several base classifiers trained on different corpora. This research focuses on a grammatical error correction task for article errors. A series of experiments is presented to show the effectiveness of the proposed approach on two different grammatical error tagged corpora.