KuNLP grammatical error correction system for CoNLL-2013 shared task

Bong Jun Yi, Ho Chang Lee, Hae Chang Rim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper describes an English grammatical error correction system for CoNLL-2013 shared task. Error types covered by our system are article/determiner, preposition, and noun number agreement. This work is our first attempt on grammatical error correction research. In this work, we only focus on reimplementing the techniques presented before and optimizing the performance. As a result of the implementation, our system’s final F1-score by m2 scorer is 0.1282 in our internal test set.

Original languageEnglish
Title of host publicationCoNLL 2013 - 17th Conference on Computational Natural Language Learning, Proceedings of the Shared Task
PublisherAssociation for Computational Linguistics (ACL)
Pages123-127
Number of pages5
ISBN (Electronic)9781937284718
Publication statusPublished - 2013
Event17th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2013 - Sofia, Bulgaria
Duration: 2013 Aug 82013 Aug 9

Publication series

NameCoNLL 2013 - 17th Conference on Computational Natural Language Learning, Proceedings of the Shared Task

Conference

Conference17th Conference on Computational Natural Language Learning: Shared Task, CoNLL 2013
Country/TerritoryBulgaria
CitySofia
Period13/8/813/8/9

Bibliographical note

Publisher Copyright:
© 2013 Association for Computational Linguistics.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Linguistics and Language

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