SATAKE Yoshiho    Department   Aoyama Gakuin University  , College of Economics    Position   Professor
Language	English
Publication Date	2020/12
Type	Academic Journal
Peer Review	Peer reviewed
Title	How error types affect the accuracy of L2 error correction with corpus use
Contribution Type	Single
Journal	Journal of Second Language Writing
Journal Type	Another Country
Publisher	Elsevier
Volume, Issue, Page	50
Details	As the error types for which corpus consultation is helpful remain uncertain, this study examined the error types for which data-driven learning (DDL) provides good error correction in L2 writing to maximize the benefits of corpus use in L2 class instruction. First, 55 undergraduate students from a university in Tokyo wrote an essay in 25 min without access to reference resources and received teacher or peer feedback on their errors. They then performed revision tasks for 15 min with either use or non-use of reference resources (corpus or dictionary). This procedure was carried out 9–11 times during the term. Error analysis found that error types affected how frequently and accurately learners corrected their errors using corpus data. Corpus use allowed easy access to the exact target phrases and frequency information of co-occurring words, which especially helped participants correct omission errors, and corpus consultation to correct omission errors increased over time.
DOI	https://doi.org/10.1016/j.jslw.2020.100757
URL for researchmap	https://doi.org/10.1016/j.jslw.2020.100757