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  • 标题:Automatická měřítka čitelnosti pro česky psané texty1
  • 本地全文:下载
  • 作者:Josef Šlerka ; Filip Smolík
  • 期刊名称:Studie z Aplikované Lingvistiky
  • 印刷版ISSN:1804-3240
  • 电子版ISSN:2336-6702
  • 出版年度:2011
  • 卷号:1
  • 期号:1
  • 页码:33-44
  • 语种:Czech
  • 出版社:Univerzita Karlova, Filozofická fakulta
  • 摘要:The study reviews the fundamental assumptions of various readability measures and provides a case study demonstrating the properties of some readability measures when applied to Czech. Based on the analogy with the measures of production (MLU,IPSyn),it is argued that automatic readability measures provide a valid estimate of text reading difficulty. Different ways of validity testing forthe readability indices are proposed. The case study shows that different measures based on average sentence and word length are very similar,while measures taking into account the token-type ratio (repetition index) behave differently.Readability indices for a series of textbooks show gradual increase in estimated difficulty with increasing grade level. The estimates for other texts also fit the expectations based on the text purpose and style..
  • 关键词:readability;reading comprehension;Flesch-Kincaid Grade Level;MLU;syntactic complexity
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