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Evidence in Automatic Error Correction Improves Learners’ English Skill

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Computational Linguistics and Intelligent Text Processing (CICLing 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7817))

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.

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Umezawa, J., Mizuno, J., Okazaki, N., Inui, K. (2013). Evidence in Automatic Error Correction Improves Learners’ English Skill. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2013. Lecture Notes in Computer Science, vol 7817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37256-8_46

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  • DOI: https://doi.org/10.1007/978-3-642-37256-8_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37255-1

  • Online ISBN: 978-3-642-37256-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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