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Reading level assessment method, system, and computer program product for high-stakes testing applications

机译:高风险测试应用程序的阅读水平评估方法,系统和计算机程序产品

摘要

A computer-implemented method, system, and computer program product for automatically assessing text difficulty. Text reading difficulty predictions are expressed on a scale that is aligned with published reading standards. Two distinct difficulty models are provided for informational and literary texts. A principal components analysis implemented on a large collection of texts is used to develop independent variables accounting for strong intercorrelations exhibited by many important linguistic features. Multiple dimensions of text variation are addressed, including new dimensions beyond syntactic complexity and semantic difficulty. Feedback about text difficulty is provided in a hierarchically structured format designed to support successful text adaptation efforts. The invention ensures that resulting text difficulty estimates are unbiased with respect to genre, are highly correlated with estimates provided by human experts, and are based on a more realistic model of the aspects of text variation that contribute to observed difficulty variation.
机译:一种用于自动评估文本难度的计算机实现的方法,系统和计算机程序产品。文本阅读难度预测以与已发布的阅读标准一致的标准表达。为信息文本和文学文本提供了两种不同的难度模型。对大量文本进行的主成分分析用于开发自变量,以说明许多重要语言功能所表现出的强相互关系。解决了文本变体的多个维度,包括语法复杂性和语义难度之外的新维度。有关文本难度的反馈以分层结构格式提供,旨在支持成功的文本改编工作。本发明确保所得到的文本难度估计相对于体裁没有偏见,与人类专家提供的估计高度相关,并且基于有助于观察到的难度变化的文本变化方面的更现实的模型。

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