Fetching the paper…
Reading the bibliography…
Massively multilingual models for neural machine translation (NMT) are theoretically attractive, but often underperform bilingual models and deliver poor zero-shot translations.
The missing ingredient in zero-shot neural machine translation
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, and Wolfgang Macherey. 2019a · 1903
Earlier work this paper cites.
Massively multilingual neural machine translation in the wild: Findings and challenges
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George Foster, Colin Cherry, Wolfgang Macherey, Zhifeng Chen, and Yonghui Wu. 2019b · 1907
Earlier work this paper cites.
Multilingual Neural Machine Translation for Zero-Resource Languages
Surafel M. Lakew, Marcello Federico, Matteo Negri, and Marco Turchi. 2019 · 1909
Earlier work this paper cites.
A multilingual view of unsupervised machine translation
Xavier García, Pierre Forêt, Thibault Sellam, and Ankur P. Parikh. 2020 · 2002
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Statistical Machine Translation , 1st edition
Philipp Koehn. 2010 · 2010
Earlier work this paper cites.
Parallel data, tools and interfaces in opus
Jörg Tiedemann. 2012 · 2012
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.
Multi-task learning for multiple language translation
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang. 2015 · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015 · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
Earlier work this paper cites.
Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016 · 2016
Earlier work this paper cites.
Multi-way, multilingual neural machine translation with a shared attention mechanism
Orhan Firat, Kyunghyun Cho, and Yoshua Bengio. 2016a · 2016
Earlier work this paper cites.
Zero-resource translation with multi-lingual neural machine translation
Orhan Firat, Baskaran Sankaran, Yaser Al-onaizan, Fatos T. Yarman Vural, and Kyunghyun Cho. 2016b · 2016
Cited alongside, same era.
Toward multilingual neural machine translation with universal encoder and decoder
Thanh-Le Ha, Jan Niehues, and Alexander Waibel. 2016 · 2016
Cited alongside, same era.
Variational neural machine translation
Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, and Min Zhang. 2016 · 2016
Cited alongside, same era.
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
Cited alongside, same era.
Fully character-level neural machine translation without explicit segmentation
Jason Lee, Kyunghyun Cho, and Thomas Hofmann. 2017 · 2017
Cited alongside, same era.
Parameter sharing methods for multilingual self-attentional translation models
Devendra Sachan and Graham Neubig. 2018 · 2018
Later among the works it cites.
Variational recurrent neural machine translation
Jinsong Su, Shan Wu, Deyi Xiong, Yaojie Lu, Xianpei Han, and Biao Zhang. 2018 · 2018
Later among the works it cites.
Massively multilingual neural machine translation
Roee Aharoni, Melvin Johnson, and Orhan Firat. 2019 · 2019
Later among the works it cites.
Consistency by agreement in zero-shot neural machine translation
Maruan Al-Shedivat and Ankur Parikh. 2019 · 2019
Later among the works it cites.
Simple, scalable adaptation for neural machine translation
Ankur Bapna and Orhan Firat. 2019 · 2019
Later among the works it cites.
Findings of the 2019 conference on machine translation (WMT19)
Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Shervin Malmasi, Christof Monz, Mathias Müller, Santanu Pal, Matt Post, and Marcos Zampieri. 2019 · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Training deeper neural machine translation models with transparent attention
Ankur Bapna, Mia Chen, Orhan Firat, Yuan Cao, and Yonghui Wu. 2018 · 2018
Cited alongside, same era.
Multilingual neural machine translation with task-specific attention
Graeme Blackwood, Miguel Ballesteros, and Todd Ward. 2018 · 2018
Cited alongside, same era.
SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
Taku Kudo and John Richardson. 2018 · 2018
Cited alongside, same era.
A comparison of transformer and recurrent neural networks on multilingual neural machine translation
Surafel Melaku Lakew, Mauro Cettolo, and Marcello Federico. 2018 · 2018
Cited alongside, same era.
A neural interlingua for multilingual machine translation
Yichao Lu, Phillip Keung, Faisal Ladhak, Vikas Bhardwaj, Shaonan Zhang, and Jason Sun. 2018 · 2018
Cited alongside, same era.
Contextual parameter generation for universal neural machine translation
Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, and Tom Mitchell. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Zero-resource neural machine translation with monolingual pivot data
Anna Currey and Kenneth Heafield. 2019 · 2019
Later among the works it cites.
Improved zero-shot neural machine translation via ignoring spurious correlations
Jiatao Gu, Yong Wang, Kyunghyun Cho, and Victor O.K. Li. 2019 · 2019
Later among the works it cites.
Multilingual neural machine translation with language clustering
Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao QIN, and Tie-Yan Liu. 2019 · 2019
Later among the works it cites.
Multilingual NMT with a language-independent attention bridge
Raúl Vázquez, Alessandro Raganato, Jörg Tiedemann, and Mathias Creutz. 2019 · 2019
Later among the works it cites.
Improving deep transformer with depth-scaled initialization and merged attention
Biao Zhang, Ivan Titov, and Rico Sennrich. 2019 · 2019
Later among the works it cites.
Mirror-generative neural machine translation
Zaixiang Zheng, Hao Zhou, Shujian Huang, Lei Li, Xin-Yu Dai, and Jiajun Chen. 2020 · 2020
Closest in time.