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Given a rough, word-by-word gloss of a source language sentence, target language natives can uncover the latent, fully-fluent rendering of the translation.
Word-by-word translation
Victor Oswald. 1952 · 1952
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Victor H. Yngve. 1955 · 1955
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Automated postediting of documents
Kevin Knight and Ishwar Chander. 1994 · 1994
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Compiling bilingual lexicon entries from a non-parallel English-Chinese corpus
Pascale Fung. 1995 · 1995
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Learning a translation lexicon from monolingual corpora
Philipp Koehn and Kevin Knight. 2002 · 2002
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Europarl: A parallel corpus for statistical machine translation
Philipp Koehn. 2005 · 2005
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Learning bilingual lexicons from monolingual corpora
Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, and Dan Klein. 2008 · 2008
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Deciphering foreign language
Sujith Ravi and Kevin Knight. 2011 · 2011
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Beam search for solving substitution ciphers
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Google’s neural machine translation system: Bridging the gap between human and machine translation
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Six challenges for neural machine translation
Philipp Koehn and Rebecca Knowles. 2017 · 2017
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Nima Pourdamghani and Kevin Knight. 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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Maximum expected likelihood estimation for zero-resource neural machine translation
Hao Zheng, Yong Cheng, and Yang Liu. 2017 · 2017
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Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 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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Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
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A teacher-student framework for zero-resource neural machine translation
Yun Chen, Yang Liu, Yong Cheng, and Victor O.K. Li. 2017 · 2017
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Effective strategies in zero-shot neural machine translation
Thanh-Le Ha, Jan Niehues, and Alexander Waibel. 2017 · 2017
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Google’s multilingual neural machine translation system: Enabling zero-shot translation
Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2017 · 2017
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Multi-way, multilingual neural machine translation with a shared attention mechanism
Orhan Firat, Kyunghyun Cho, and Yoshua Bengio. 2016a
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Zero-resource translation with multi-lingual neural machine translation
Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan, Fatos T. Yarman Vural, and Kyunghyun Cho. 2016b
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Unsupervised machine translation using monolingual corpora only
Guillaume Lample, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018a
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Improving unsupervised word-by-word translation with language model and denoising autoencoder
Yunsu Kim, Jiahui Geng, and Hermann Ney. 2018 · 2018
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Unsupervised neural machine translation with weight sharing
Zhen Yang, Wei Chen, Feng Wang, and Bo Xu. 2018 · 2018
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