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A Computer-Aided Error Analysis (CEA) of a Korean Learner Corpus

  • Modern English Education
  • Abbr : MEESO
  • 2008, 9(1), pp.73~89
  • Publisher : The Modern English Education Society
  • Research Area : Humanities > English Language and Literature > English Language Teaching

이동주 1

1상계고등학교

Candidate

ABSTRACT

This study describes a computer-aided error analysis (CEA) of a small corpus of writing in English produced by EFL Korean secondary school students. The analysis identified the most common errors the students made using an error-tagging software tool and subsequent analyses of the errors were performed with a view to obtaining information to design remedial corpus-based pedagogical materials to enhance the students’ writing and grammar. Despite the error-tagging method being time-consuming, it provides teachers and materials designers with data on the most common error types students are likely to make, thereby making it possible to predict to some extent particular language problems at any given level of proficiency for any given learner group with a higher degree of accuracy.

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