@InProceedings{winder-EtAl:2017:NLPTEA,
  author    = {Winder, Roger Vivek Placidus  and  MacKinnon, Joseph  and  Li, Shu Yun  and  Lin, Benedict Christopher Tzer Liang  and  Heah, Carmel Lee Hah  and  Morgado da Costa, Lu\'{i}s  and  Kuribayashi, Takayuki  and  Bond, Francis},
  title     = {NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students},
  booktitle = {Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)},
  month     = {December},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {1--11},
  abstract  = {This paper describes the creation of a new annotated learner corpus. The aim is
	to use this corpus to develop an automated system for corrective feedback on
	students’ writing. With this system, students will be able to receive timely
	feedback on language errors before they submit their assignments for grading. A
	corpus of assignments submitted by first year engineering students was
	compiled, and a new error tag set for the NTU Corpus of Learner English
	(NTUCLE) was developed based on that of the NUS Corpus of Learner English
	(NUCLE), as well as marking rubrics used at NTU. After a description of the
	corpus, error tag set and annotation process, the paper presents the results of
	the annotation exercise as well as follow up actions. The final error tag set,
	which is significantly larger than that for the NUCLE error categories, is then
	presented before a brief conclusion summarising our experience and future
	plans.},
  url       = {http://www.aclweb.org/anthology/W17-5901}
}