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Computer-assisted detection of 90% of EFL student errors

机译：计算机辅助检测90％的EFL学生错误

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摘要

Software can facilitate English as a Foreign Language (EFL) students' self-correction of their free-form writing by detecting errors; this article examines the proportion of errors which software can detect. A corpus of 13,644 words of written English was created, comprising 90 compositions written by Spanish-speaking students at levels A2-B2 (inclusive) of the Common European Framework. A total of 1,310 language errors were detected by the researcher. It was found that approximately 21% of these errors were spelling errors. A further 58% were characterised as either two-word phrases (45%), three-word phrases (9%), or four-and five-word phrases (4%) which are either absent from or rare in a large corpus of English which is known to be correct. The nature of software which can detect such words and phrases and bring them to students' attention with a view to self-correction is briefly described. Of the remaining 21% of errors not detected by such software, most were found to be either errors of tense (7%), misuse of false friends (4%) or problems with determiners (3%). Again, software which can help students detect and correct such errors is outlined. The limitations and pedagogical significance of the research are then briefly discussed.
机译：该软件可以通过检测错误来促进英语作为外语（EFL）学生对自由格式写作的自我纠正；本文研究了软件可以检测到的错误比例。创建了一个包含13,644个书面英语单词的语料库，其中包括90个由讲西班牙语的学生在共同欧洲框架A2-B2（含）水平下撰写的作品。研究人员总共检测到1,310种语言错误。发现这些错误中大约21％是拼写错误。另有58％的人表示为两个单词词组（45％），三个单词词组（9％）或四个单词和五个单词词组（4％），这些单词在大型语料库中不存在或很少出现英语是正确的。简要描述了可以检测此类单词和短语并引起学生注意以进行自我纠正的软件的性质。在该软件未检测到的其余21％的错误中，大多数被发现是时态错误（7％），滥用假朋友（4％）或确定者问题（3％）。再次概述了可以帮助学生检测和纠正此类错误的软件。然后简要讨论了研究的局限性和教学意义。

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