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

    Fingerprint

    Dive into the research topics of 'KuNLP grammatical error correction system for CoNLL-2013 shared task'. Together they form a unique fingerprint.

    Cite this