Cognitively Motivated Features for Readability Assessment

Cognitively Motivated Features for Readability Assessment
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用于可读性评估的认知动机特征

DOI:
10.3115/1609067.1609092
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发表时间:
2009
期刊:
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
影响因子:
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通讯作者:
Matt Huenerfauth
Matt Huenerfauth
中科院分区:
--
文献类型:
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作者:
L. Feng;Noémie Elhadad;Matt Huenerfauth

文献摘要

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我们研究与智力障碍(ID)成年人文本可读性相关的语言特征。基于一个文本语料库(包括一些经实验测定可供智力障碍成年人理解的文本),我们分析了与用户读写困难背后的认知因素相关的新型语篇层面特征的重要性。我们开发并评估了一种自动评估这些用户文本可读性的工具。我们的实验表明,我们基于语篇层面且受认知驱动的特征改进了自动可读性评估。
We investigate linguistic features that correlate with the readability of texts for adults with intellectual disabilities (ID). Based on a corpus of texts (including some experimentally measured for comprehension by adults with ID), we analyze the significance of novel discourse-level features related to the cognitive factors underlying our users' literacy challenges. We develop and evaluate a tool for automatically rating the readability of texts for these users. Our experiments show that our discourse-level, cognitively-motivated features improve automatic readability assessment.