Developing an error analysis marking tool for ESL learners

  • Authors:

  • Saadiyah Darus;Tg Nor Rizan Tg Mohd Maasum;Siti Hamin Stapa;Nazlia Omar;Mohd Juzaiddin Ab Aziz

  • Affiliations:

  • Universiti Kebangsaan Malaysia, Bangi, Malaysia;Universiti Kebangsaan Malaysia, Bangi, Malaysia;Universiti Kebangsaan Malaysia, Bangi, Malaysia;Universiti Kebangsaan Malaysia, Bangi, Malaysia;Universiti Kebangsaan Malaysia, Bangi, Malaysia

  • Venue:
  • ACS'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science - Volume 7
  • Year:
  • 2007

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Abstract

This paper describes the first step of a research in developing an error analysis marking tool for ESL (English as a Second Language) learners at Malaysian institutions of higher learning. The writing in ESL comprises 400 essays written by 112 undergraduates. Subject-matter experts use an error classification scheme to identify the errors. Markin 3.1 software is used to speed up the process of classifying these errors. In this way, the statistical analysis of errors are made accurately. The results of the study show that common errors in these essays in decreasing order are tenses, prepositions, articles, word choice, mechanics, and verb to be. The findings from this phase of the study will lend to the next phase of the research that is developing techniques and algorithms for error analysis marking tool for ESL learners.