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Helping Our Own: NTHU NLPLAB System Description
Conference paper

Helping Our Own: NTHU NLPLAB System Description

Jian-Cheng Wu, Joseph Z. Chang, Yi-Chun Chen, Shih-Ting Huang, Mei-Hua Chen and Jason S. Chang
Proceedings of the 7th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2012 at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2012, pp.295-301
2012

Abstract

Language and Linguistics Computer Science Applications Linguistics and Language
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.

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