可读性
阅读(过程)
计算机科学
相关性(法律)
数据科学
自然语言处理
情报检索
国家(计算机科学)
人工智能
语言学
程序设计语言
政治学
哲学
法学
作者
Kevyn Collins‐Thompson
出处
期刊:ITL – International Journal of Applied Linguistics
[Peeters]
日期:2014-12-31
卷期号:165 (2): 97-135
被引量:184
标识
DOI:10.1075/itl.165.2.01col
摘要
Assessing text readability is a time-honored problem that has even more relevance in today’s information-rich world. This article provides background on how readability of texts is assessed automatically, reviews the current state-of-the-art algorithms in automatic modeling and predicting the reading difficulty of texts, and proposes new challenges and opportunities for future exploration not well-covered by current computational research.
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