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The evaluation of text simplification (TS) systems remains an open challenge.
Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel
J. Peter Kincaid, Robert P Fishburne Jr., Richard L. Rogers, and Brad S. Chissom. 1975 · 1975
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Motivations and methods for text simplification
Raman Chandrasekar, Christine Doran, and Bangalore Srinivas. 1996 · 1996
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Practical simplification of english newspaper text to assist aphasic readers
John Carroll, Guido Minnen, Yvonne Canning, Siobhan Devlin, and John Tait. 1998 · 1998
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Nltk: the natural language toolkit
Steven Bird and Edward Loper. 2004 · 2004
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
Sentence simplification for semantic role labeling
David Vickrey and Daphne Koller. 2008 · 2008
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Ter-plus: paraphrase, semantic, and alignment enhancements to translation edit rate
Matthew G Snover, Nitin Madnani, Bonnie Dorr, and Richard Schwartz. 2009 · 2009
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Facilita: reading assistance for low-literacy readers
Willian Massami Watanabe, Arnaldo Candido Junior, Vinícius Rodriguez Uzêda, Renata Pontin de Mattos Fortes, Thiago Alexandre Salgueiro Pardo, and Sandra Maria Aluísio. 2009 · 2009
Earlier work this paper cites.
Translating from complex to simplified sentences
Lucia Specia. 2010 · 2010
Earlier work this paper cites.
A monolingual tree-based translation model for sentence simplification
Zhemin Zhu, Delphine Bernhard, and Iryna Gurevych. 2010 · 2010
Earlier work this paper cites.
Scikit-learn: Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, and Édouard Duchesnay. 2011 · 2011
Cited alongside, same era.
Text simplification in simplext. making text more accessible
Horacio Saggion, Elena Gómez Martínez, Esteban Etayo, Alberto Anula, and Lorena Bourg. 2011 · 2011
Cited alongside, same era.
Parallel Data, Tools and Interfaces in OPUS
Jörg Tiedemann. 2012 · 2012
Cited alongside, same era.
Sentence simplification by monolingual machine translation
Sander Wubben, Antal Van Den Bosch, and Emiel Krahmer. 2012 · 2012
Cited alongside, same era.
Simplify or help?: text simplification strategies for people with dyslexia
Luz Rello, Ricardo Baeza-Yates, Stefan Bott, and Horacio Saggion. 2013 · 2013
Cited alongside, same era.
Quest-a translation quality estimation framework
Japanese news simplification: Task design, data set construction, and analysis of simplified text
Isao Goto, Hideki Tanaka, and Tadashi Kumano. 2015 · 2015
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Skip-thought vectors
Ryan Kiros, Yukun Zhu, Ruslan R Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
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Large scale translation quality estimation
Miguel Rios and Serge Sharoff. 2015 · 2015
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A deeper exploration of the standard pb-smt approach to text simplification and its evaluation
Sanja Štajner, Hannah Béchara, and Horacio Saggion. 2015 · 2015
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Problems in current text simplification research: New data can help
Wei Xu, Chris Callison-Burch, and Courtney Napoles. 2015 · 2015
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Text readability assessment for second language learners
Menglin Xia, Ekaterina Kochmar, and Ted Briscoe. 2016 · 2016
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Lucia Specia, Kashif Shah, Jose GC Souza, and Trevor Cohn. 2013 · 2013
Cited alongside, same era.
Syntactic sentence simplification for french
Laetitia Brouwers, Delphine Bernhard, Anne-Laure Ligozat, and Thomas François. 2014 · 2014
Cited alongside, same era.
Concreteness ratings for 40 thousand generally known english word lemmas
Marc Brysbaert, Amy Beth Warriner, and Victor Kuperman. 2014 · 2014
Cited alongside, same era.
Hybrid simplification using deep semantics and machine translation
Shashi Narayan and Claire Gardent. 2014 · 2014
Cited alongside, same era.
One step closer to automatic evaluation of text simplification systems
Sanja Štajner, Ruslan Mitkov, and Horacio Saggion. 2014 · 2014
Cited alongside, same era.
Miniexperts: An svm approach for measuring semantic textual similarity
Hanna Béchara, Hernani Costa, Shiva Taslimipoor, Rohit Gupta, Constantin Orasan, Gloria Corpas Pastor, and Ruslan Mitkov. 2015 · 2015
Cited alongside, same era.
Design and annotation of the first italian corpus for text simplification
Dominique Brunato, Felice Dell’Orletta, Giulia Venturi, and Simonetta Montemagni. 2015 · 2015
Cited alongside, same era.
Later among the works it cites.
Optimizing statistical machine translation for text simplification
Wei Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen, and Chris Callison-Burch. 2016 · 2016
Later among the works it cites.
Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N. Dauphin. 2017 · 2017
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Shashi Narayan, Claire Gardent, Shay B Cohen, and Anastasia Shimorina. 2017 · 2017
Later among the works it cites.
Advances in pre-training distributed word representations
Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, and Armand Joulin. 2018 · 2018
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Human evaluation for text simplification: The simplicity-adequacy tradeoff
Max Schwarzer and David Kauchak. 2018 · 2018
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Semantic structural evaluation for text simplification
Elior Sulem, Omri Abend, and Ari Rappoport. 2018b · 2018
Later among the works it cites.