Chapter published in:
Language and Text: Data, models, information and applications
Edited by Adam Pawłowski, Jan Mačutek, Sheila Embleton and George Mikros
[Current Issues in Linguistic Theory 356] 2021
► pp. 163176
Azpiazu, Ion Madrazo & Maria Soledad Pera
2019Multiattentive recurrent neural network architecture for multilingual readability assessment. Transactions of the Association for Computational Linguistics 7. 421–436. CrossrefGoogle Scholar
Breiman, Leo
2001Random forests. Machine Learning 45(1). 5–32. CrossrefGoogle Scholar
Collins-Thompson, Kevyn & James P. Callan
2004A language modeling approach to predicting reading difficulty. Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004, 193–200. Boston, MA: Association for Computational Linguistics.Google Scholar
Dale, Edgar & Jeanne S. Chall
1948A formula for predicting readability. Educational Research Bulletin 27(2). 37–54.Google Scholar
DuBay, William H.
2004The principles of readability. Costa Mesa, CA: Impact Information.Google Scholar
Flesch, Rudolf
1948A new readability yardstick. Journal of Applied Psychology 32. 221–233. CrossrefGoogle Scholar
François, Thomas & Cédrick Fairon
2012An “AI readability” formula for French as a foreign language. In Jun’ichi Tsujii, James Henderson & Marius Paşca (eds.), Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 466–477. Jeju Island, Korea: Association for Computational Linguistics.Google Scholar
Fry, Edward
1968A readability formula that saves time. Journal of Reading 11(7). 513–578.Google Scholar
Graesser, Arthur C., Danielle S. McNamara, Max M. Louwerse & Zhiqiang Cai
2004Coh-Metrix: Analysis of text on cohesion and language. Behavior Research Methods, Instruments, & Computers 36(2). 193–202. CrossrefGoogle Scholar
Gunning, Robert
1952The technique of clear writing. New York: McGraw-Hill.Google Scholar
Hirsch, Jorge E.
2005An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America 102(46). 16569–16572. CrossrefGoogle Scholar
Kho, Julia
2018 October 19. Why random forest is my favorite machine learning model. Towards Data Science. Retrieved 5 September 2020, from https://​towardsdatascience​.com​/why​-random​-forest​-is​-my​-favorite​-machine​-learning​-model​-b97651fa3706
Kincaid, Peter J., Robert P. Fishburne Jr., Richard L. Rogers & Brad S. Chissom
1975Derivation of new readability formulas (Automated Readability Index, Fog Count, and Flesch Reading Ease Formula) for Navy enlisted personnel. Millington, TN: Chief of Naval Technical Training Naval Air Station Memphis. CrossrefGoogle Scholar
Koehrsen, Will
2018 August 30. An implementation and explanation of the random forest in Python. Towards Data Science. Retrieved 5 September 2020, from https://​towardsdatascience​.com​/an​-implementation​-and​-explanation​-of​-the​-random​-forest​-in​-python​-77bf308a9b76
Kubát, Miroslav, Vladimír Matlach & Radek Čech
2014QUITA: Quantitative Index Text Analyzer. Lüdenscheid: RAM-Verlag.Google Scholar
Martinc, Matej, Senja Pollak & Marko Robnik Šikonja
2018Assessing readability with deep neural language models. Paper presented at the 2nd HBP Student Conference: Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science, Ljubljana, Slovenia, February 14–16.
McIntosh, Robert P.
1967An index of diversity and the relation of certain concepts to diversity. Ecology 48(3). 392–404. CrossrefGoogle Scholar
McLaughlin, G. Harry
1969SMOG Grading – a new readability formula. Journal of Reading 12(8). 639–646.Google Scholar
Milone, Michael
2014Development of the ATOS® Readability Formula. Wisconsin Rapids, WI: Renaissance Learning, Inc.Google Scholar
Mohammadi, Hamid & Seyed Hossein Khasteh
2019Text as environment: A deep reinforcement learning text readability assessment model. arXiv preprint arXiv:1912.05957.Google Scholar
Oakes, Michael P.
1998Statistics for corpus linguistics. Edinburgh: Edinburgh University Press.Google Scholar
Pitler, Emily & Ani Nenkova
2008Revisiting readability: A unified framework for predicting text quality. In Mirella Lapata & Hwee Tou Ng (eds.), Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 186–195. Honolulu, HI: Association for Computational Linguistics. CrossrefGoogle Scholar
Popescu, Ioan-Iovitz
2007The ranking by the weight of highly frequent words. In Peter Grzybek & Reinhard Köhler (eds.), Exact methods in the study of language and text, 555–565. Berlin: De Gruyter. CrossrefGoogle Scholar
Popescu, Ioan-Iovitz & Gabriel Altmann
2007Writer’s view of text generation. Glottometrics 15. 71–81.Google Scholar
Popescu, Ioan-Iovitz, Karl-Heinz Best & Gabriel Altmann
2007On the dynamics of word classes in text. Glottometrics 14. 58–71.Google Scholar
Popescu, Ioan-Iovitz, Gabriel Almann, Peter Grzybek, Bijapur D. Jayaram, Reinhard Köhler, Viktor Krupa, Ján Mačutek, Regina Pustet, Ludmila Uhlířová & Matummal N. Vidya
2009aWord frequency studies. Berlin: Mouton de Gruyter.Google Scholar
Popescu, Ioan-Iovitz, Ján Mačutek & Gabriel Altmann
2009bAspects of word frequencies. Lüdenscheid: RAM-Verlag.Google Scholar
Popescu, Ioan-Iovitz, Ján Mačutek, Emmerich Kelih, Radek Čech, Karl-Heinz Best & Gabriel Altmann
2010Vectors and codes of text. Lüdenscheid: RAM-Verlag.Google Scholar
Schwarm, Sarah E. & Mari Ostendorf
2005Reading level assessment using support vector machines and statistical language models. In Kevin Knight, Hwee Tou Ng & Kemal Oflazer Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, 523–530. Ann Arbor, MI: Association for Computational Linguistics. CrossrefGoogle Scholar
Tweedie, Fiona J. & Harald R. Baayen
1998How variable may a constant be? Measures of lexical richness in perspective. Computers and the Humanities 32(5). 323–352. CrossrefGoogle Scholar
Welling, Soeren H., Hanne H. F. Refsgaard, Per B. Brockhoff & Line H. Clemmensen
2016Forest floor visualizations of random forests. arXiv preprint arXiv:1605.09196.Google Scholar
Yule, George Udny
1944The statistical study of literary vocabulary. Cambridge: Cambridge University Press.Google Scholar