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An important concern in training multilingual neural machine translation (NMT) is to translate between language pairs unseen during training, i.e zero-shot translation.
The missing ingredient in zero-shot neural machine translation
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, and Wolfgang Macherey. 2019 · 1903
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Consistency by agreement in zero-shot neural machine translation
Maruan Al-Shedivat and Ankur P Parikh. 2019 · 1904
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Transfer learning for low-resource neural machine translation
Barret Zoph, Deniz Yuret, Jonathan May, and Kevin Knight. 2016 · 1906
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Recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio. 2014 · 2014
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Sequence to sequence learning with neural networks
I. Sutskever, O. Vinyals, and Q. V. Le. 2014 · 2014
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Effective approaches to attention-based neural machine translation
Minh-Thang Luong, Hieu Pham, and Christopher D Manning. 2015 · 2015
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Multi-way, multilingual neural machine translation with a shared attention mechanism
Orhan Firat, Kyunghyun Cho, and Yoshua Bengio. 2016 · 2016
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A theoretically grounded application of dropout in recurrent neural networks
Yarin Gal and Zoubin Ghahramani. 2016 · 2016
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Toward multilingual neural machine translation with universal encoder and decoder
Thanh-Le Ha, Jan Niehues, and Alexander Waibel. 2016 · 2016
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Dual learning for machine translation
Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, and Wei-Ying Ma. 2016 · 2016
Cited alongside, same era.
Google’s multilingual neural machine translation system: Enabling zero-shot translation
M. Johnson, M. Schuster, Q. V. Le, M. Krikun, Y. Wu, Z. Chen, N. Thorat, F. B. Viegas, M. Wattenberg, G. Corrado, M. Hughes, and J. Dean. 2016 · 2016
Cited alongside, same era.
Neural machine translation in linear time
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aaron van den Oord, Alex Graves, and Koray Kavukcuoglu. 2016 · 2016
Cited alongside, same era.
Overview of the iwslt 2017 evaluation campaign
Mauro Cettolo, Marcello Federico, Luisa Bentivogli, Niehues Jan, Stüker Sebastian, Sudoh Katsuitho, Yoshino Koichiro, and Federmann Christian. 2017 · 2017
Cited alongside, same era.
A teacher-student framework for zero-resource neural machine translation
Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
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Learning joint multilingual sentence representations with neural machine translation
Holger Schwenk and Matthijs Douze. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Sentence embedding for neural machine translation domain adaptation
Rui Wang, Andrew Finch, Masao Utiyama, and Eiichiro Sumita. 2017 · 2017
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Zero-resource neural machine translation with multi-agent communication game
Yun Chen, Yang Liu, and Victor OK Li. 2018 · 2018
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Yun Chen, Yang Liu, Yong Cheng, and Victor OK Li. 2017 · 2017
Cited alongside, same era.
Kyoto university mt system description for iwslt 2017
Raj Dabre, Fabien Cromieres, and Sadao Kurohashi. 2017 · 2017
Cited alongside, same era.
Using target-side monolingual data for neural machine translation through multi-task learning
Tobias Domhan and Felix Hieber. 2017 · 2017
Cited alongside, same era.
Effective strategies in zero-shot neural machine translation
Thanh-Le Ha, Jan Niehues, and Alexander Waibel. 2017 · 2017
Cited alongside, same era.
Exploiting linguistic resources for neural machine translation using multi-task learning
Jan Niehues and Eunah Cho. 2017 · 2017
Cited alongside, same era.
Universal neural machine translation for extremely low resource languages
Jiatao Gu, Hany Hassan, Jacob Devlin, and Victor OK Li. 2018 · 2018
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A neural interlingua for multilingual machine translation
Yichao Lu, Phillip Keung, Faisal Ladhak, Vikas Bhardwaj, Shaonan Zhang, and Jason Sun. 2018 · 2018
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Contextual parameter generation for universal neural machine translation
Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, and Tom Mitchell. 2018 · 2018
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Effective cross-lingual transfer of neural machine translation models without shared vocabularies
Yunsu Kim, Yingbo Gao, and Hermann Ney. 2019 · 2019
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