Development of an automated tool for detecting errors in tenses

The rapid growth of computer technologies creates a plethora of ways in which technology can be integrated into one of the alternatives to facilitate essay marking. Automated essay marking systems developed from the late 1960s have attempted to prove that computers can evaluate essays as competen...

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Main Authors:	Tengku Nor Rizan Tengku Mohd Maasum, Siti Hamin Stapa, Nazlia Omar, Mohd Juzaiddin Ab Aziz, Saadiyah Darus
Format:	Article
Language:	English
Published:	Penerbit UKM 2012
Online Access:	http://journalarticle.ukm.my/4913/ http://journalarticle.ukm.my/4913/ http://journalarticle.ukm.my/4913/1/pp%2520427_441.pdf

id	ukm-4913
recordtype	eprints
spelling	ukm-49132016-12-14T06:37:17Z http://journalarticle.ukm.my/4913/ Development of an automated tool for detecting errors in tenses Tengku Nor Rizan Tengku Mohd Maasum, Siti Hamin Stapa, Nazlia Omar, Mohd Juzaiddin Ab Aziz, Saadiyah Darus, The rapid growth of computer technologies creates a plethora of ways in which technology can be integrated into one of the alternatives to facilitate essay marking. Automated essay marking systems developed from the late 1960s have attempted to prove that computers can evaluate essays as competently as human expert. Several computer-based essay marking (CBEM) systems have been developed to mark students’ essays and they can be divided into semi-automated and automated systems. This paper illustrates the development of an Automated Tool for Detecting Errors in Tenses (ATDEiT™). The first phase analysed the errors found in 400 essays written by 112 English as second language (ESL) learners at tertiary level using Markin 3.1 software. The results showed that the most common errors were found in tenses. This finding led to the second phase of the research, which was the design of an automated marking tool. Consequently, the techniques and algorithm for error analysis marking tool for ESL learners were developed. An initial testing was conducted to evaluate the results of the marking tool using 50 essays. Findings showed that ATDEiT™ achieved a high level (93.5%) of recall and an average level (78.8%) of precision. This proves that ATDEiT™ has the potential to be used as an automated tool for detecting errors in tenses for ESL learners. Penerbit UKM 2012-05 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/4913/1/pp%2520427_441.pdf Tengku Nor Rizan Tengku Mohd Maasum, and Siti Hamin Stapa, and Nazlia Omar, and Mohd Juzaiddin Ab Aziz, and Saadiyah Darus, (2012) Development of an automated tool for detecting errors in tenses. GEMA: Online Journal of Language Studies, 12 (2 (spe). pp. 427-441. ISSN 1675-8021 http://pkukmweb.ukm.my/~ppbl/Gema/gemahome.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	The rapid growth of computer technologies creates a plethora of ways in which technology can be integrated into one of the alternatives to facilitate essay marking. Automated essay marking systems developed from the late 1960s have attempted to prove that computers can evaluate essays as competently as human expert. Several computer-based essay marking (CBEM) systems have been developed to mark students’ essays and they can be divided into semi-automated and automated systems. This paper illustrates the development of an Automated Tool for Detecting Errors in Tenses (ATDEiT™). The first phase analysed the errors found in 400 essays written by 112 English as second language (ESL) learners at tertiary level using Markin 3.1 software. The results showed that the most common errors were found in tenses. This finding led to the second phase of the research, which was the design of an automated marking tool. Consequently, the techniques and algorithm for error analysis marking tool for ESL learners were developed. An initial testing was conducted to evaluate the results of the marking tool using 50 essays. Findings showed that ATDEiT™ achieved a high level (93.5%) of recall and an average level (78.8%) of precision. This proves that ATDEiT™ has the potential to be used as an automated tool for detecting errors in tenses for ESL learners.
format	Article
author	Tengku Nor Rizan Tengku Mohd Maasum, Siti Hamin Stapa, Nazlia Omar, Mohd Juzaiddin Ab Aziz, Saadiyah Darus,
spellingShingle	Tengku Nor Rizan Tengku Mohd Maasum, Siti Hamin Stapa, Nazlia Omar, Mohd Juzaiddin Ab Aziz, Saadiyah Darus, Development of an automated tool for detecting errors in tenses
author_facet	Tengku Nor Rizan Tengku Mohd Maasum, Siti Hamin Stapa, Nazlia Omar, Mohd Juzaiddin Ab Aziz, Saadiyah Darus,
author_sort	Tengku Nor Rizan Tengku Mohd Maasum,
title	Development of an automated tool for detecting errors in tenses
title_short	Development of an automated tool for detecting errors in tenses
title_full	Development of an automated tool for detecting errors in tenses
title_fullStr	Development of an automated tool for detecting errors in tenses
title_full_unstemmed	Development of an automated tool for detecting errors in tenses
title_sort	development of an automated tool for detecting errors in tenses
publisher	Penerbit UKM
publishDate	2012
url	http://journalarticle.ukm.my/4913/ http://journalarticle.ukm.my/4913/ http://journalarticle.ukm.my/4913/1/pp%2520427_441.pdf
first_indexed	2023-09-18T19:42:50Z
last_indexed	2023-09-18T19:42:50Z
_version_	1777405704900968448

Development of an automated tool for detecting errors in tenses

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