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Linguistic features that impact essay scores: a corpus linguistic analysis of ESL writing in three proficiency levels

机译:影响论文分数的语言特征:三种熟练程度的ESL写作语料库语言分析

摘要

This study, which is a part of a larger project on learner corpora, used a corpus linguistic approach to analyzing ESL writing produced by freshmen college students from five private schools in Metro Manila, Philippines, in their first week of classes. The data for the study includes (1) essay scores used to classify texts by levels of proficiency, (2) computer tagging results, and (3) MANOVA, ANOVA, and regression analyses. The analyses revealed that most of the general text characteristics (e.g. fluency, unique words, word per sentence, number of sentence, number of paragraphs) and lexical (except conjuncts), clause-level, and grammatical features all have a steady increase across proficiency levels. This implies that the (1) writers of high score essays (level 2 and 3) are likely to employ more of these structures, and (2) The employment of these structures impact the raters’ assignment of scores on the essays. The findings of the present study lead to tentative conclusions and implications for curricular enhancement and research.
机译:这项研究是一个较大的学习者语料库项目的一部分,该课程采用语料库语言学方法来分析菲律宾马尼拉大都会五所私立学校的新生在课程的第一周所写的ESL写作。这项研究的数据包括(1)用于根据熟练程度对文本进行分类的论文分数,(2)计算机标记结果以及(3)MANOVA,ANOVA和回归分析。分析表明,大多数通用文本特征(例如流利度,唯一词,每个句子的词数,句子数,段落数)和词汇(连词除外),从句级和语法特征在整个熟练程度中都在稳步增长水平。这意味着(1)高分论文(第2级和第3级)的作者可能会采用更多此类结构,并且(2)这些结构的使用会影响评分者对论文的评分分配。本研究的结果导致初步结论和对课程改进和研究的启示。

著录项

  • 作者

    Leah Espada-Gustilo;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

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