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Sentence simplification reduces semantic complexity to benefit people with language impairments.
Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel
J. Peterand Robert P. Fishburne Jr Kincaid, Richard L. Rogers, and Brad S. 1975 · 1975
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Bidirectional recurrent neural networks 11:2673–2681
Mike Schuster and Kuldip K. Paliwal. 1997 · 1997
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Simplifying text for language-impaired readers
John Carroll, Guido Minnen, Darrenz Pearce, Canning Yvonne, Devlin Siobhan, and John Tait. 1999 · 1999
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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
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Moses: Open source toolkit for statistical machine translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris C.Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan Herbst. 2007 · 2007
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Translating from complex to simplified sentences
Lucia Specia. 2010 · 2010
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A monolingual tree-based translation model for sentence simplification
Zhemin Zhu, Delphine Bernhard, , and Iryna Gurevych. 2010 · 2010
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Learning to simplify sentences using wikipedia
William Coster and David Kauchak. 2011 · 2011
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Joint learning of a dual smt system for paraphrase generation
Hong Sun and Ming Zhou. 2012 · 2012
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Sentence simplification by monolingual machine translation
Sander Wubben, Antal Van Den Bosch, and Emiel Krahmer. 2012 · 2012
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Adadelta: an adaptive learning rate method
Matthew D. Zeiler. 2012 · 2012
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Joshua 5.0: Sparser, better, faster, server
Matt Post, Juri Ganitkevitch, Luke Orland, Jonathan Weese, Yuan Cao, and Chris Callison-Burch. 2013 · 2013
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The impact of lexical simplification by verbal paraphrases for people with and without dyslexia
Luz Rello, Ricardo Baeza-Yates, and Horacio Saggion. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
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Simplifying lexical simplification: Do we need simplified corpora
Goran Glavaš and Sanja Štajner. 2015 · 2015
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Backward and forward language modeling for constrained sentence generation
Lili Mou, Rui Yan, Ge Li, Lu Zhang, and Zhi Jin. 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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Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, and Zhi Jin. 2016 · 2016
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Kyunghyun Cho, Bart Van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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An evaluation of syntactic simplification rules for people with autism
Richard Evans, Constantin Orasan, and Iustin Dornescu. 2014 · 2014
Cited alongside, same era.
Learning a lexical simplifier using wikipedia
Colby Horn, Cathryn Manduca, and David Kauchak. 2014 · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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Unsupervised lexical simplification for non-native speakers
Gustavo H. Paetzold and Lucia Specia. 2016 · 2016
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Simple ppdb: A paraphrase database for simplification
Ellie Pavlick and Chris Callison-Burch. 2016 · 2016
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Optimizing statistical machine translation for text simplification
Wei Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen, and Chris Callison-Burch. 2016 · 2016
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