Automatic error detection in the Japanese learners' English spoken data

  • Authors:
  • Emi Izumi;Kiyotaka Uchimoto;Toyomi Saiga;Thepchai Supnithi;Hitoshi Isahara

  • Affiliations:
  • Communications Research Laboratory, Kyoto, Japan;Communications Research Laboratory, Kyoto, Japan;TIS Inc., Suita, Osaka, Japan;National Electronics and Computer Technology Center, Pathumthani, Thailand;Communications Research Laboratory, Kyoto, Japan

  • Venue:
  • ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2
  • Year:
  • 2003

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Abstract

This paper describes a method of detecting grammatical and lexical errors made by Japanese learners of English and other techniques that improve the accuracy of error detection with a limited amount of training data. In this paper, we demonstrate to what extent the proposed methods hold promise by conducting experiments using our learner corpus, which contains information on learners' errors.