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Back-translation is a widely used data augmentation technique which leverages target monolingual data.
Text repair model for neural machine translation
Markus Freitag, Isaac Caswell, and Scott Roy. 2019 · 1904
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2019 · 1904
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Translationese in machine translation evaluation
Yvette Graham, Barry Haddow, and Philipp Koehn. 2019 · 1906
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The effect of translationese in machine translation test sets
Mike Zhang and Antonio Toral. 2019 · 1906
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Corpus linguistics and translation studies: Implications and applications
Mona Baker. 1993 · 1993
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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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Statistical significance tests for machine translation evaluation
Philipp Koehn. 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
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A study of translation edit rate with targeted human annotation
Matthew Snover, Bonnie Dorr, Richard Schwartz, Linnea Micciulla, and John Makhoul. 2006 · 2006
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Automatic detection of translated text and its impact on machine translation
David Kurokawa, Cyril Goutte, and Pierre Isabelle. 2009 · 2009
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Improving translation model by monolingual data
Ondrej Bojar and Ales Tamchyna. 2011 · 2011
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Translationese and its dialects
Moshe Koppel and Noam Ordan. 2011 · 2011
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Language models for machine translation: Original vs. translated texts
Gennadi Lembersky, Noam Ordan, and Shuly Wintner. 2011 · 2011
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langid. py: An off-the-shelf language identification tool
Marco Lui and Timothy Baldwin. 2012 · 2012
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Descriptive translation studies and beyond: Revised edition , volume 100
Gideon Toury. 2012 · 2012
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Beer: Better evaluation as ranking
Milos Stanojevic and Khalil Sima’an. 2014 · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Understanding back-translation at scale
Sergey Edunov, Myle Ott, Michael Auli, and David Grangier. 2018 · 2018
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Iterative back-translation for neural machine translation
Vu Cong Duy Hoang, Philipp Koehn, Gholamreza Haffari, and Trevor Cohn. 2018 · 2018
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Phrase-based and neural unsupervised machine translation
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018 · 2018
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Scaling neural machine translation
Myle Ott, Sergey Edunov, David Grangier, and Michael Auli. 2018 · 2018
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Attaining the unattainable? reassessing claims of human parity in neural machine translation
Antonio Toral, Sheila Castilho, Ke Hu, and Andy Way. 2018 · 2018
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Attention Is All You Need
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Ondřej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, and Christof Monz. 2018 · 2018
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Findings of the 2019 conference on machine translation (wmt19)
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Tagged back-translation
Isaac Caswell, Ciprian Chelba, and David Grangier. 2019 · 2019
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Results of the wmt19 metrics shared task: Segment-level and strong mt systems pose big challenges
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Facebook fair’s wmt19 news translation task submission
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