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We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese, French, and Italian.
Grammatical error correction and style transfer via zero-shot monolingual translation
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Generating natural language under pragmatic constraint
Eduard Hovy. 1987 · 1987
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Improved backing-off for m-gram language modeling
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Formality of language: definition, measurement and behavioral determinants
F. Heylighen, J. Dewaele, and L. Apostel. 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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Style-transfer and paraphrase: Looking for a sensible semantic similarity metric
Ivan P. Yamshchikov, Viacheslav Shibaev, Nikolay Khlebnikov, and Alexey Tikhonov. 2020 · 2004
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Moses: Open source toolkit for statistical machine translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondřej Bojar, Alexandra Constantin, and Evan Herbst. 2007 · 2007
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Paraphrasing for style
Wei Xu, Alan Ritter, Bill Dolan, Ralph Grishman, and Colin Cherry. 2012 · 2012
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Predicting grammaticality on an ordinal scale
Michael Heilman, Aoife Cahill, Nitin Madnani, Melissa Lopez, Matthew Mulholland, and Joel Tetreault. 2014 · 2014
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Squinky! A corpus of sentence-level formality, informativeness, and implicature
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Personalized machine translation: Predicting translational preferences
Shachar Mirkin and Jean-Luc Meunier. 2015 · 2015
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SemEval-2016 task 1: Semantic textual similarity, monolingual and cross-lingual evaluation
Eneko Agirre, Carmen Banea, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Rada Mihalcea, German Rigau, and Janyce Wiebe. 2016 · 2016
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Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering
Ruining He and Julian McAuley. 2016 · 2016
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OpenSubtitles2016: Extracting large parallel corpora from movie and TV subtitles
Pierre Lison and Jörg Tiedemann. 2016 · 2016
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An empirical analysis of formality in online communication
Ellie Pavlick and Joel Tetreault. 2016 · 2016
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Controlling politeness in neural machine translation via side constraints
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016a · 2016
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Controlling the voice of a sentence in Japanese-to-English neural machine translation
Hayahide Yamagishi, Shin Kanouchi, Takayuki Sato, and Mamoru Komachi. 2016 · 2016
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Toward controlled generation of text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P. Xing. 2017 · 2017
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A study of style in machine translation: Controlling the formality of machine translation output
Xing Niu, Marianna Martindale, and Marine Carpuat. 2017 · 2017
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Personalized machine translation: Preserving original author traits
Ella Rabinovich, Raj Nath Patel, Shachar Mirkin, Lucia Specia, and Shuly Wintner. 2017 · 2017
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Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2017 · 2017
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Data statements for natural language processing: Toward mitigating system bias and enabling better science
Emily M. Bender and Batya Friedman. 2018 · 2018
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XNLI: Evaluating cross-lingual sentence representations
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel Bowman, Holger Schwenk, and Veselin Stoyanov. 2018 · 2018
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Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé, and Kate Crawford. 2018 · 2018
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Neural machine translation decoding with terminology constraints
Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, and Bill Byrne. 2018 · 2018
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The sockeye neural machine translation toolkit at AMTA 2018
Felix Hieber, Tobias Domhan, Michael Denkowski, David Vilar, Artem Sokolov, Ann Clifton, and Matt Post. 2018 · 2018
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Delete, retrieve, generate: a simple approach to sentiment and style transfer
Juncen Li, Robin Jia, He He, and Percy Liang. 2018 · 2018
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Dongyeop Kang, Varun Gangal, and Eduard Hovy. 2019 · 2019
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Domain adaptive text style transfer
Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, and Ming-Ting Sun. 2019 · 2019
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A dual reinforcement learning framework for unsupervised text style transfer
Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Zhifang Sui, and Xu Sun. 2019 · 2019
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Controlling the reading level of machine translation output
Kelly Marchisio, Jialiang Guo, Cheng-I Lai, and Philipp Koehn. 2019 · 2019
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Evaluating style transfer for text
Remi Mir, Bjarke Felbo, Nick Obradovich, and Iyad Rahwan. 2019 · 2019
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Content preserving text generation with attribute controls
Lajanugen Logeswaran, Honglak Lee, and Samy Bengio. 2018 · 2018
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Multi-task neural models for translating between styles within and across languages
Xing Niu, Sudha Rao, and Marine Carpuat. 2018 · 2018
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Style transfer through back-translation
Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, and Alan W Black. 2018 · 2018
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Dear sir or madam, may I introduce the GYAFC dataset: Corpus, benchmarks and metrics for formality style transfer
Sudha Rao and Joel Tetreault. 2018 · 2018
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Prompsit’s submission to wmt 2018 parallel corpus filtering shared task
Víctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, and Gema Ramírez-Sánchez · 2018
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Multiple-attribute text style transfer
Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, and Y-Lan Boureau. 2018 · 2018
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Filling gender & number gaps in neural machine translation with black-box context injection
Amit Moryossef, Roee Aharoni, and Yoav Goldberg. 2019 · 2019
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Towards actual (not operational) textual style transfer auto-evaluation
Richard Yuanzhe Pang. 2019 · 2019
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Unsupervised evaluation metrics and learning criteria for non-parallel textual transfer
Richard Yuanzhe Pang and Kevin Gimpel. 2019 · 2019
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Semi-supervised text style transfer: Cross projection in latent space
Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, and Rui Yan. 2019 · 2019
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Style transfer for texts: Retrain, report errors, compare with rewrites
Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, and Ivan P. Yamshchikov. 2019 · 2019
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Harnessing pre-trained neural networks with rules for formality style transfer
Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, and Wenhan Chao. 2019 · 2019
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A hierarchical reinforced sequence operation method for unsupervised text style transfer
Chen Wu, Xuancheng Ren, Fuli Luo, and Xu Sun. 2019 · 2019
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On the cross-lingual transferability of monolingual representations
Mikel Artetxe, Sebastian Ruder, and Dani Yogatama. 2020 · 2020
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Expertise style transfer: A new task towards better communication between experts and laymen
Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, and Tat-Seng Chua. 2020 · 2020
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Generating similes effortlessly like a pro: A style transfer approach for simile generation
Tuhin Chakrabarty, Smaranda Muresan, and Nanyun Peng. 2020 · 2020
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BLEU might be guilty but references are not innocent
Markus Freitag, David Grangier, and Isaac Caswell. 2020 · 2020
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A probabilistic formulation of unsupervised text style transfer
Junxian He, Xinyi Wang, Graham Neubig, and Taylor Berg-Kirkpatrick. 2020 · 2020
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Reformulating unsupervised style transfer as paraphrase generation
Kalpesh Krishna, John Wieting, and Mohit Iyyer. 2020 · 2020
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Unsupervised text style transfer with padded masked language models
Eric Malmi, Aliaksei Severyn, and Sascha Rothe. 2020 · 2020
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Controlling neural machine translation formality with synthetic supervision
Xing Niu and Marine Carpuat. 2020 · 2020
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Parallel data augmentation for formality style transfer
Yi Zhang, Tao Ge, and Xu SUN. 2020 · 2020
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