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We share the findings of the first shared task on improving robustness of Machine Translation (MT).
Training on synthetic noise improves robustness to natural noise in machine translation
Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, and Marjan Ghazvininejad. 2019 · 1902
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Improving robustness of machine translation with synthetic noise
Vaibhav Vaibhav, Sumeet Singh, Craig Stewart, and Graham Neubig. 2019 · 1920
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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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The Kyoto free translation task
Graham Neubig. 2011 · 2011
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Wit 3 : Web inventory of transcribed and translated talks
Mauro Cettolo, Christian Girardi, and Marcello Federico. 2012 · 2012
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus. 2013 · 2013
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Neural machine translation of rare words with subword units
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Georg Heigold, Günter Neumann, and Josef van Genabith. 2017 · 2017
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OpenNMT: Open-source toolkit for neural machine translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M. Rush. 2017 · 2017
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Six challenges for neural machine translation
Philipp Koehn and Rebecca Knowles. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Synthetic and natural noise both break neural machine translation
Yonatan Belinkov and Yonatan Bisk. 2018 · 2018
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On adversarial examples for character-level neural machine translation
Javid Ebrahimi, Daniel Lowd, and Dejing Dou. 2018 · 2018
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Achieving human parity on automatic chinese to english news translation
Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, et al. 2018 · 2018
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On the impact of various types of noise on neural machine translation
Huda Khayrallah and Philipp Koehn. 2018 · 2018
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SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
Taku Kudo and John Richardson. 2018 · 2018
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Hallucinations in neural machine translation
Katherine Lee, Orhan Firat, Ashish Agarwal, Clara Fannjiang, and David Sussillo. 2018 · 2018
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Robust neural machine translation with doubly adversarial inputs
Yong Cheng, Lu Jiang, and Wolfgang Macherey. 2019 · 2019
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NICT’s Supervised MT Systems for the Translation Robustness Task in WMT19
Raj Dabre and Eiichiro Sumita. 2019 · 2019
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One size does not fit all: Comparing NMT representations of different granularities
Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, and Preslav Nakov. 2019 · 2019
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The submission of FOKUS to the WMT 19 robustness task
Cristian Grozea. 2019 · 2019
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CUNI System for the WMT19 Robustness Task
Jindřich Helcl, Jindřich Libovický, and Martin Popel. 2019 · 2019
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On evaluation of adversarial perturbations for sequence-to-sequence models
Paul Michel, Xian Li, Graham Neubig, and Juan Miguel Pino. 2019 · 2019
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MTNT: A testbed for Machine Translation of Noisy Text
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Generating natural adversarial examples
Zhengli Zhao, Dheeru Dua, and Sameer Singh. 2018 · 2018
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Neural machine translation of text from non-native speakers
Antonios Anastasopoulos, Alison Lui, Toan Q. Nguyen, and David Chiang. 2019 · 2019
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Analysis methods in neural language processing: A survey
Yonatan Belinkov and James Glass. 2019 · 2019
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Naver Labs Europe’s Systems for the WMT19 Machine Translation Robustness Task
Alexandre Bérard, Ioan Calapodescu, and Claude Roux. 2019 · 2019
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Seq2sick: Evaluating the robustness of sequence-to-sequence models with adversarial examples
Minhao Cheng, Jinfeng Yi, Huan Zhang, Pin-Yu Chen, and Cho-Jui Hsieh. 2018a
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NTT’s Machine Translation Systems for WMT19 Robustness Task
Soichiro Murakami, Makoto Morishita, Tsutomu Hirao, and Masaaki Nagata. 2019 · 2019
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compare-mt: A tool for holistic comparison of language generation systems
Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, and Xinyi Wang. 2019 · 2019
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JHU 2019 Robustness Task System Description
Matt Post and Kevin Duh. 2019 · 2019
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Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report
Renjie Zheng, Hairong Liu, Mingbo Ma, Baigong Zheng, and Liang Huang. 2019 · 2019
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Improving Robustness of Neural Machine Translation with Multi-task Learning
Shuyan Zhou, Xiangkai Zeng, Yingqi Zhou, Antonios Anastasopoulos, and Graham Neubig. 2019 · 2019
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