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The Interface between Readability and Automatic Text Simplification: Identifying Difficulties to Support Simple Writing

机译:可读性和自动文本简化之间的接口:识别支持简单书写的困难

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摘要

For nearly a century, readability formulas have focused on the complex task of outputing a single numerical value consisting in an estimate of the difficulty of a text for a given population of readers. Although this synthetic approach has virtues in certain contexts, its main limitation is that it analyses how dozens or even hundreds of linguistic characteristics of a text affect the reading process, but lets the user know about this process only through this single numerical value. Automatic text simplification (ATS), for its part, aims to identify complex features in a text (words, syntactic structures, numbers, etc.) and automatically simplify them. Despite being a finer-grained approach, due to the lack of theoretical and empirical data, ATS still struggles to identify all linguistic characteristics that should be simplified.
机译:近一个世纪以来,可读性公式一直专注于输出单个数值的复杂任务,该数值包括对给定读者群体的文本难度的估算。尽管这种综合方法在某些情况下具有优点,但其主要局限性在于它分析了文本的数十种甚至数百种语言特性如何影响阅读过程,但仅通过此单个数值让用户知道此过程。自动文本简化(ATS)的目的是识别文本中的复杂特征(单词,句法结构,数字等)并自动对其进行简化。尽管是一种更细粒度的方法,但由于缺乏理论和经验数据,ATS仍然难以识别所有应简化的语言特征。

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