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英语写作中高频错误研究以及对教学的启示——以“百万同题英文写作大数据研究”为例 被引量:1

Research on the High Frequency Errors in EFL Learners’Writings from the Perspective of Errors Analysis and Its Enlightenment to Teaching——A Case Study of One Million-odd EFL Writings on the Same Topic by the Big Dada
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摘要 错误分析理论对第二语言习得的研究起着重要的指导作用。"2015年百万同题英语写作大数据"显示,在英语写作中拼写错误发生频率最高,占总错误30%;其次为句子错误,占总错误28.3%,主要是主谓一致和成分缺失错误;搭配错误占总错误的21.1%;词汇错误占总错误20.6%,主要涉及到动词连用、词性误用以及介词误用等。通过海量数据对高频错误进行研究,有利于教师精准地判断外语学习者的学习发展趋势,从而精准教学。 Errors analysis theory plays an important role in the research on the second language acquisition.Based on the big data from a research report of million-odd English writings on the same topic by Chinese EFL learners in 2015,this paper does a research on the high-frequency errors.It finds out the highest frequency errors occur in spelling,accounting for 30%.Syntax errors take up 28.3%,mainly including subject-verb agreement and the missing of sentence elements.Then collocation errors occupy 21.1%.Errors in the use of words,making up 20.6%,are primarily concerned with succession of verbs,misuse of parts of speech and prepositions.This research on the high-frequency errors through the mass data is good for the English teachers to well understand the English learners’situation so that they can carry out accurate teaching.
作者 张丽 ZHANG Li(Foreign Language School,Guangzhou College of Commerce,Guangzhou 511363,China)
出处 《焦作大学学报》 2020年第3期122-127,共6页 Journal of Jiaozuo University
基金 2019年广东省高等教育教学改革项目(2019SJJXGG01) 2019年度广州市哲学社会科学发展“十三五”规划项目(2019GZJ196) 广州商学院校级重点课题(2018XJZD005)。
关键词 英语写作 高频错误 大数据 English writing high-frequency errors big data
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