SATAKE Yoshiho
   Department   Aoyama Gakuin University  , College of Economics
   Position   Professor
Language English
Publication Date 2023/08
Type Academic Journal
Peer Review Peer reviewed
Title Effects of corpus use on error identification in L2 writing
Contribution Type Single
Journal Asia Pacific Journal of Corpus Research
Journal TypeAnother Country
Volume, Issue, Page 4(1),pp.61-71
Total page number 11
Details This study examines the effects of data-driven learning (DDL) on error identification in second language (L2) writing. The data consists of error identification instances from fifty-five participants, compared across different reference materials: the Corpus of Contemporary American English (COCA), dictionaries, and no use of reference materials. There are three significant findings. First, the use of COCA effectively identified collocational and form-related errors due to inductive inference drawn from multiple example sentences. Secondly, dictionaries were beneficial for identifying lexical errors, where providing meaning information was helpful. Finally, the participants often employed a strategic approach, identifying many simple errors without reference materials, this strategy also led to mislabeling correct expressions as errors. The findings suggest that teachers should guide learners to effectively use appropriate reference materials to identify errors based on error types.
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