NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students

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 f...

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Main Authors: Winder, Roger Vivek Placidus, MacKinnon, Joe, Li, Shu Yun, Lin, Benedict, Heah, Carmel, da Costa, Luís Morgado, Kuribayashi, Takayuki, Bond, Francis
Other Authors: School of Humanities
Format: Conference or Workshop Item
Published: 2018
Online Access:https://hdl.handle.net/10356/88433
http://hdl.handle.net/10220/44683
https://aclanthology.coli.uni-saarland.de/papers/W17-5901/w17-5901
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-884332020-10-08T07:06:47Z NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students Winder, Roger Vivek Placidus MacKinnon, Joe Li, Shu Yun Lin, Benedict Heah, Carmel da Costa, Luís Morgado Kuribayashi, Takayuki Bond, Francis School of Humanities Interdisciplinary Graduate School (IGS) The 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017) 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. Published version 2018-04-12T08:51:53Z 2019-12-06T17:03:15Z 2018-04-12T08:51:53Z 2019-12-06T17:03:15Z 2017-12-01 2017 Conference Paper Winder, R. V. P., MacKinnon, J., Li, S. Y., Lin, B., Heah, C., da Costa, L. M., et al. (2017, December). NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students. Paper presented at the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017), Taipei, Taiwan (pp. 1-11). Asian Federation of Natural Language Processing. https://hdl.handle.net/10356/88433 http://hdl.handle.net/10220/44683 https://aclanthology.coli.uni-saarland.de/papers/W17-5901/w17-5901 204667 © 2017 The author(s) (published by Asian Federation of Natural Language Processing (AFNLP)). This paper was published in Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017) and is made available as an electronic reprint (preprint) with permission of AFNLP. The published version is available at: [https://aclanthology.coli.uni-saarland.de/papers/W17-5901/w17-5901]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
description 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.
author2 School of Humanities
author_facet School of Humanities
Winder, Roger Vivek Placidus
MacKinnon, Joe
Li, Shu Yun
Lin, Benedict
Heah, Carmel
da Costa, Luís Morgado
Kuribayashi, Takayuki
Bond, Francis
format Conference or Workshop Item
author Winder, Roger Vivek Placidus
MacKinnon, Joe
Li, Shu Yun
Lin, Benedict
Heah, Carmel
da Costa, Luís Morgado
Kuribayashi, Takayuki
Bond, Francis
spellingShingle Winder, Roger Vivek Placidus
MacKinnon, Joe
Li, Shu Yun
Lin, Benedict
Heah, Carmel
da Costa, Luís Morgado
Kuribayashi, Takayuki
Bond, Francis
NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students
author_sort Winder, Roger Vivek Placidus
title NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students
title_short NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students
title_full NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students
title_fullStr NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students
title_full_unstemmed NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students
title_sort ntucle: developing a corpus of learner english to provide writing support for engineering students
publishDate 2018
url https://hdl.handle.net/10356/88433
http://hdl.handle.net/10220/44683
https://aclanthology.coli.uni-saarland.de/papers/W17-5901/w17-5901
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