The Past, Problems, and Potential of Readability Analysis

Nicholas A. Lines
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Abstract

Readability analysis combines statistical modeling, theoretical linguistics, and psychological theory to determine the accessibility level of writing samples. This study has a long history and broad impact, yet typically uses extremely simple statistical tools (in particular linear regressions). This article briefly reviews key stages in the history of readability, and discusses present issues and potential future benefits these tools offer.
可读性分析的过去、问题和潜力
易读性分析结合统计建模、理论语言学和心理学理论来确定写作样本的易读性水平。这项研究有着悠久的历史和广泛的影响,但通常使用极其简单的统计工具(特别是线性回归)。本文简要回顾了可读性历史上的关键阶段,并讨论了这些工具提供的当前问题和潜在的未来好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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