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State-of-the-art neural machine translation (NMT) systems are data-hungry and perform poorly on new domains with no supervised data.
Cross-lingual language model pretraining
Guillaume Lample and Alexis Conneau. 2019 · 1901
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An empirical study of domain adaptation for unsupervised neural machine translation
Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao. 2019 · 1908
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Semi-supervised learning for neural machine translation
Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016 · 1974
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Combining word-level and character-level models for machine translation between closely-related languages
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Markus Freitag and Yaser Al-Onaizan. 2016 · 2016
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Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, and Wei-Ying Ma. 2016 · 2016
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Domain control for neural machine translation
Catherine Kobus, Josep Maria Crego, and Jean Senellart. 2016 · 2016
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2017 · 2017
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Unsupervised pretraining for sequence to sequence learning
Prajit Ramachandran, Peter Liu, and Quoc Le. 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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The multitarget ted talks task
Kevin Duh. 2018 · 2018
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Back-translation sampling by targeting difficult words in neural machine translation
Marzieh Fadaee and Christof Monz. 2018 · 2018
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Phrase-based & neural unsupervised machine translation
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018 · 2018
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Unsupervised domain adaptation for neural machine translation with domain-aware feature embeddings
Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, and Graham Neubig. 2019 · 2019
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