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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/4913/1/pp%2520427_441.pdf
http://journalarticle.ukm.my/4913/
http://pkukmweb.ukm.my/~ppbl/Gema/gemahome.html
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spelling my-ukm.journal.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
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
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/4913/1/pp%2520427_441.pdf
http://journalarticle.ukm.my/4913/
http://pkukmweb.ukm.my/~ppbl/Gema/gemahome.html
_version_ 1643736243769442304
score 13.211869

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