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In this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary.
Cross-lingual language model pretraining
Guillaume Lample and Alexis Conneau. 2019 · 1901
Earlier work this paper cites.
The missing ingredient in zero-shot neural machine translation
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, and Wolfgang Macherey. 2018 · 1903
Earlier work this paper cites.
Exploiting similarities among languages for machine translation
Tomas Mikolov, Quoc V. Le, and Ilya Sutskever. 2013 · 2013
Earlier work this paper cites.
Improving vector space word representations using multilingual correlation
Manaal Faruqui and Chris Dyer. 2014 · 2014
Earlier work this paper cites.
Distributed word representation learning for cross-lingual dependency parsing
Min Xiao and Yuhong Guo. 2014 · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Earlier work this paper cites.
Simple task-specific bilingual word embeddings
Stephan Gouws and Anders Søgaard. 2015 · 2015
Earlier work this paper cites.
Hubness and pollution: Delving into cross-space mapping for zero-shot learning
Angeliki Lazaridou, Georgiana Dinu, and Marco Baroni. 2015 · 2015
Earlier work this paper cites.
Deep multilingual correlation for improved word embeddings
Ang Lu, Weiran Wang, Mohit Bansal, Kevin Gimpel, and Karen Livescu. 2015 · 2015
Earlier work this paper cites.
Normalized word embedding and orthogonal transform for bilingual word translation
Chao Xing, Dong Wang, Chao Liu, and Yiye Lin. 2015 · 2015
Cited alongside, same era.
Massively multilingual word embeddings
Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer, and Noah A. Smith. 2016 · 2016
Cited alongside, same era.
Learning principled bilingual mappings of word embeddings while preserving monolingual invariance
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2016 · 2016
Cited alongside, same era.
Incorporating discrete translation lexicons into neural machine translation
Philip Arthur, Graham Neubig, and Satoshi Nakamura. 2016 · 2016
Cited alongside, same era.
Learning crosslingual word embeddings without bilingual corpora
Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, and Trevor Cohn. 2016 · 2016
Cited alongside, same era.
Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann Dauphin. 2017 · 2017
Later among the works it cites.
Offline bilingual word vectors, orthogonal transformations and the inverted softmax
Samuel L. Smith, David H. P. Turban, Steven Hamblin, and Nils Y. Hammerla. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Later among the works it cites.
The best of both worlds: Combining recent advances in neural machine translation
Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George Foster, Llion Jones, Niki Parmar, Michael Schuster, Zhi-Feng Chen, Yonghui Wu, and Macduff Hughes. 2018 · 2018
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Word translation without parallel data
Alexis Conneau, Guillaume Lample, Marc’Aurelio Ranzato, Ludovic Denoyer, and Hervé Jégou. 2018 · 2018
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Jiajun Zhang and Chengqing Zong. 2016 · 2016
Cited alongside, same era.
Ten pairs to tag - multilingual pos tagging via coarse mapping between embeddings
Yuan Zhang, David Gaddy, Regina Barzilay, and Tommi S. Jaakkola. 2016 · 2016
Cited alongside, same era.
Cross-lingual word embeddings for low-resource language modeling
Oliver Adams, Adam Makarucha, Graham Neubig, Steven Bird, and Trevor Cohn. 2017 · 2017
Cited alongside, same era.
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2018a
Cited in the paper.
Unsupervised statistical machine translation
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2018b
Cited in the paper.
Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2018c
Cited in the paper.
Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2018d
Cited in the paper.
Zhen Yang, Wei Chen, Feng Wang, and Bo Xu. 2018 · 2018
Later among the works it cites.
An effective approach to unsupervised machine translation
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2019 · 2019
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Unsupervised bilingual word embedding agreement for unsupervised neural machine translation
Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao. 2019 · 2019
Later among the works it cites.