Evidence in automatic error correction improves learners' English skill

Jiro Umezawa, Junta Mizuno, Naoaki Okazaki, Kentaro Inui

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

Abstract

Mastering proper article usage, especially in the English language, has been known to pose an extreme challenge to non-native speakers whose L1 languages have no concept of articles. Although the development of correction methods for article usage has posed a challenge for researchers, current methods do not perfectly correct the articles. In addition, proper article usage is not taught by these methods. Therefore, they are not useful for those wishing to learn a language with article usage. In this paper, we discuss the necessity of presenting evidence for corrections of English article usage. We demonstrate the effectiveness of this approach to improve the writing skills of English learners.

Original languageEnglish
Title of host publicationComputational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings
Pages559-571
Number of pages13
EditionPART 2
DOIs
Publication statusPublished - 2013 Apr 3
Event14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013 - Samos, Greece
Duration: 2013 Mar 242013 Mar 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7817 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013
CountryGreece
CitySamos
Period13/3/2413/3/30

Keywords

  • Automatic Correction
  • English Article
  • Grammatical Error

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Umezawa, J., Mizuno, J., Okazaki, N., & Inui, K. (2013). Evidence in automatic error correction improves learners' English skill. In Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings (PART 2 ed., pp. 559-571). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7817 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-37256-8_46