这是北京语言大学智能计算机辅助语言学习（ICALL）研究组维护的文本可读性阅读清单。

1. 综述

• Klare, G. R. (1974–1975). Assessing readability. Reading Research Quarterly.
• 吴思远, 蔡建永, 于东, 江新. 2018. 文本可读性的自动分析研究综述. 中文信息学报.
• 郭凯、金檀、陆小飞. 2018. 文本难度调控的研究与实践——从可读公式、多维特征到智能改编. 外语测试与教学.

2. 相关研究

2.1 中文可读性研究

• Yao-Ting Sung, Tao Hsing Chang. 2016. CRIE: An automated analyzer for Chinese texts. Behavior Research Methods.
• Yao-Ting Sung, Weic Lin, SB Dyson, Kuoen Chang. 2015. Leveling L2 Texts Through Readability: Combining Multilevel Linguistic Features with the CEFR. *The Modern Language Journal.
• LAU Tak Pang. 2006. Chinese Readability Analysis and its Applications on the Internet. Master's thesis, The Chinese University of Hong Kong.
• Yu Qiaona. 2016.Defining and Assessing Chinese Syntactic Complexity via TC-Units. Doctor's thesis, University of Hawaii at Manoa.

2.2 其他语言可读性研究

• Arthur C. Graesser, Danielle S. McNamara. 2004. Coh-Metrix: Analysis of text on cohesion and language. Behavior Research Methods, Instruments, & Computers.
• Arthur C. Graesser, Danielle S. McNamara. 2011. Coh-Metrix: Providing multilevel analysis of text characteristic. Educational Researcher.
• Xiaofei Lu. 2010. Automatic analysis of syntactic complexity in second language writing. International Journal of Corpus Linguistics.
• Xiaofei Lu. 2013. A corpus-based comparison of syntactic complexity in NNS and NS university students’ writing. Automatic Treatment and Analysis of Learner Corpus Data
• 陆小飞, 许琪. 2016. 二语句法复杂度分析器及其在二语写作研究中的应用. 外语教学与研究
• Xiaofei Lu. 2017. Automated measurement of syntactic complexity in corpus-based L2 writing research and implications for writing assessment. Language Testing. Language Testing
• Jin, T., Lu, X., & Ni, J. (2020). Syntactic complexity in adapted teaching materials: Differences among grade levels and implications for benchmarking. The Modern Language Journal
• Menglin Xia ,Ekaterina Kochmar ,Ted Briscoe. 2016. Text Readability Assessment for Second Language Learners. Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications
• Xiaobin Chen, Detmar Meurers. 2016. CTAP: A Web-Based Tool Supporting Automatic Complexity Analysis. Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity.
• Chen, X. 2018. Automatic Analysis of Linguistic Complexity and Its Application in Language Learning Research, PhD thesis in computational linguistics,  Eberhard Karls Universität Tübingen.
• Nadezda Okinina, Jennifer-Carmen Frey. CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool.
• Zarah Weiss, Z. 2017. Using Measures of Linguistic Complexity to Assess German L2 Proficiency in Learner Corpora under Consideration of Task-Effects. M.A. Thesis in Computational Linguistics.
• Weiss Z, Meurers D. 2019. Broad Linguistic Modeling is Beneficial for German L2 Proficiency Assessment. Widening the Scope of Learner Corpus Research, Selected Papers from the Fourth Learner Corpus Research Conference.
• S Tonelli, KT Manh, E Pianta. 2012. Making readability indices readable. Proceedings of the First Workshop on Predicting and Improving Text Readability for target reader populations.
• Lijun Feng. 2010. Automatic Readability Assessment. *Doctor's thesis, City University of New York.

3. 可读性分析工具

• Web-based L2 Syntactical Complexity Analyzer (L2SCA)  https://aihaiyang.com/software/l2sca/
• 文本可读性指标自动化分析系统 http://www.chinesereadability.net/CRIE/index.aspx?LANG=CHT
• 中文文本自动化分析系统 http://210.240.188.161/Chinese_CohMetrix/index.html
• CTAP http://samos.sfs.uni-tuebingen.de:8080/ctapweb/
• 英语阅读分级指难针 https://www.languagedata.net/tester/

4. 中文数据资源

• 汉语词法难度分级表 https://mp.weixin.qq.com/s/VRiNJyILWMwNOAzXJUoKyA
• 汉语句法难度分级表 https://mp.weixin.qq.com/s/IRSqMm75mjoI95VGArW9Jw
• 国际汉语教师语法教学手册
• 国际汉语教师中级语法教学手册

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