Helping our own: NTHU NLPLAB system description

  • Authors:
  • Jian-Cheng Wu;Joseph Z. Chang;Yi-Chun Chen;Shih-Ting Huang;Mei-Hua Chen;Jason S. Chang

  • Affiliations:
  • NTHU, HsinChu, Taiwan, R.O.C.;NTHU, HsinChu, Taiwan, R.O.C.;NTHU, HsinChu, Taiwan, R.O.C.;NTHU, HsinChu, Taiwan, R.O.C.;NTHU, HsinChu, Taiwan, R.O.C.;NTHU, HsinChu, Taiwan, R.O.C.

  • Venue:
  • Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
  • Year:
  • 2012

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Abstract

Grammatical error correction has been an active research area in the field of Natural Language Processing. In this paper, we integrated four distinct learning-based modules to correct determiner and preposition errors in leaners' writing. Each module focuses on a particular type of error. Our modules were tested in well-formed data and learners' writing. The results show that our system achieves high recall while preserves satisfactory precision.