サタケ　ヨシホ   SATAKE Yoshiho   佐竹　由帆    所属   青山学院大学  経済学部 共通教育・外国語科目    職種   教授
言語種別	英語
発行・発表の年月	2020/12
形態種別	学術雑誌
査読	査読あり
標題	How error types affect the accuracy of L2 error correction with corpus use
執筆形態	単独
掲載誌名	Journal of Second Language Writing
掲載区分	国外
出版社・発行元	Elsevier
巻・号・頁	50
概要	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
researchmap用URL	https://doi.org/10.1016/j.jslw.2020.100757