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We present a survey on multilingual neural machine translation (MNMT), which has gained a lot of traction in the recent years.
The ARIEL-CMU Systems for LoReHLT18
Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard Hovy, Alan W Black, Jaime Carbonell, Graham V. Horwood, Shabnam Tafreshi, Mona Diab, Efsun S. Kayi, Noura Farra, and Kathleen McKeown. 2019 · 1902
Earlier work this paper cites.
Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, and Marc’Aurelio Ranzato. 2019 · 1902
Earlier work this paper cites.
A teacher-student framework for zero-resource neural machine translation
Yun Chen, Yang Liu, Yong Cheng, and Victor O.K. Li. 2017 · 1935
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UNITRAN: An Interlingua Approach to Machine Translation
Bonnie J. Dorr. 1987 · 1987
Earlier work this paper cites.
Machine translation, linguistics, and interlingua
Petr Sgall and Jarmila Panevová. 1987 · 1987
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UNL: Universal Networking Language – An Electronic Language for Communication, Understanding, and Collaboration
H. Uchida. 1996 · 1996
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The KANT Machine Translation System: From R&D to Initial Deployment
T. Mitamura E. H. Nyberg and J. Carbonell. 1997 · 1997
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Statistical multi-source translation
Franz Josef Och and Hermann Ney. 2001 · 2001
Earlier work this paper cites.
Statistical phrase-based translation
Philipp Koehn, Franz Josef Och, and Daniel Marcu. 2003 · 2003
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Europarl: A Parallel Corpus for Statistical Machine Translation
Philipp Koehn. 2005 · 2005
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Catalan-English statistical machine translation without parallel corpus: bridging through Spanish
Adri‘a De Gispert and Jose B Marino. 2006 · 2006
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Computing consensus translation for multiple machine translation systems using enhanced hypothesis alignment
Evgeny Matusov, Nicola Ueffing, and Hermann Ney. 2006 · 2006
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History and Heritage of the DLT (Distributed Language Translation) project
T. Witkam. 2006 · 2006
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Moses: Open source toolkit for statistical machine translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondřej Bojar, Alexandra Constantin, and Evan Herbst. 2007 · 2007
Earlier work this paper cites.
A Comparison of Pivot Methods for Phrase-Based Statistical Machine Translation
Masao Utiyama and Hitoshi Isahara. 2007 · 2007
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Can we translate letters?
David Vilar, Jan-T Peter, and Hermann Ney. 2007 · 2007
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Pivot language approach for phrase-based statistical machine translation
Hua Wu and Haifeng Wang. 2007 · 2007
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Improved statistical machine translation for resource-poor languages using related resource-rich languages
Preslav Nakov and Hwee Tou Ng. 2009 · 2009
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Word lattices for multi-source translation
Josh Schroeder, Trevor Cohn, and Philipp Koehn. 2009 · 2009
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The TDIL Program and the Indian Langauge Corpora Intitiative (ILCI)
Girish Nath Jha. 2010 · 2010
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A survey on transfer learning
Sinno Jialin Pan and Qiang Yang. 2010 · 2010
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The indic multi-parallel corpus
Lexi Birch, Chris Callison-Burch, Miles Osborne, and Matt Post. 2011 · 2011
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Pivot Strategies as an Alternative for Statistical Machine Translation Tasks Involving Iberian Languages
C. Henríquez, M. R. Costa-jussá, R. E. Banchs, L. Formiga, and J. B. Mari no. 2011 · 2011
Earlier work this paper cites.
Inducing crosslingual distributed representations of words
Alexandre Klementiev, Ivan Titov, and Binod Bhattarai. 2012 · 2012
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Wit3: Web inventory of transcribed and translated talks
Cettolo Mauro, Girardi Christian, and Federico Marcello. 2012 · 2012
Earlier work this paper cites.
Abstract meaning representation for sembanking
Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, and Nathan Schneider. 2013 · 2013
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Adaptation data selection using neural language models: Experiments in machine translation
Kevin Duh, Graham Neubig, Katsuhito Sudoh, and Hajime Tsukada. 2013 · 2013
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Exploiting similarities among languages for machine translation
Tomas Mikolov, Quoc V Le, and Ilya Sutskever. 2013 · 2013
Earlier work this paper cites.
An autoencoder approach to learning bilingual word representations
Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh Khapra, Balaraman Ravindran, Vikas C Raykar, and Amrita Saha. 2014 · 2014
Earlier work this paper cites.
On the properties of neural machine translation: Encoder-decoder approaches
KyungHyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
An overview of the European Union’s highly multilingual parallel corpora
Ralf Steinberger, Mohamed Ebrahim, Alexandros Poulis, Manuel Carrasco-Benitez, Patrick Schlüter, Marek Przybyszewski, and Signe Gilbro. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 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
Cited alongside, same era.
Multi-task learning for multiple language translation
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang. 2015 · 2015
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.
Multi-way, multilingual neural machine translation with a shared attention mechanism
Orhan Firat, Kyunghyun Cho, and Yoshua Bengio. 2016a · 2016
Cited alongside, same era.
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.
Ensemble learning for multi-source neural machine translation
Transfer learning across low-resource, related languages for neural machine translation
Toan Q. Nguyen and David Chiang. 2017 · 2017
Later among the works it cites.
Unsupervised pretraining for sequence to sequence learning
Prajit Ramachandran, Peter J. Liu, and Quoc V. Le. 2017 · 2017
Later among the works it cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Instance weighting for neural machine translation domain adaptation
Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen, and Eiichiro Sumita. 2017b · 2017
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The missing ingredient in zero-shot neural machine translation
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, and Wolfgang Macherey. 2018 · 2018
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Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond
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Ekaterina Garmash and Christof Monz. 2016 · 2016
Cited alongside, same era.
Toward multilingual neural machine translation with universal encoder and decoder
Thanh-Le Ha, Jan Niehues, and Alexander H. Waibel. 2016 · 2016
Cited alongside, same era.
Orthographic Syllable as basic unit for SMT between Related Languages
Anoop Kunchukuttan and Pushpak Bhattacharyya. 2016 · 2016
Cited alongside, same era.
Introducing the asian language treebank (ALT)
Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew M Finch, and Eiichiro Sumita. 2016 · 2016
Cited alongside, same era.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
Cited alongside, same era.
The United Nations Parallel Corpus v1.0
Michał Ziemski, Marcin Junczys-Dowmunt, and Bruno Pouliquen. 2016b · 2016
Cited alongside, same era.
Multi-source neural translation
Barret Zoph and Kevin Knight. 2016 · 2016
Cited alongside, same era.
Mikel Artetxe and Holger Schwenk. 2018 · 2018
Later among the works it cites.
Multilingual Indian Language Translation System at WAT 2018: Many-to-one Phrase-based SMT
Tamali Banerjee, Anoop Kunchukuttan, and Pushpak Bhattacharyya. 2018 · 2018
Later among the works it cites.
Multilingual neural machine translation with task-specific attention
Graeme Blackwood, Miguel Ballesteros, and Todd Ward. 2018 · 2018
Later among the works it cites.
Findings of the 2018 conference on machine translation (WMT18)
Ondřej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Philipp Koehn, and Christof Monz. 2018 · 2018
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Improving a multi-source neural machine translation model with corpus extension for low-resource languages
Gyu Hyeon Choi, Jong Hun Shin, and Young Kil Kim. 2018 · 2018
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A survey of domain adaptation for neural machine translation
Chenhui Chu and Rui Wang. 2018 · 2018
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XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, and Veselin Stoyanov. 2018b · 2018
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NICT’s participation in WAT 2018: Approaches using multilingualism and recurrently stacked layers
Raj Dabre, Anoop Kunchukuttan, Atsushi Fujita, and Eiichiro Sumita. 2018 · 2018
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Universal neural machine translation for extremely low resource languages
Jiatao Gu, Hany Hassan, Jacob Devlin, and Victor O.K. Li. 2018a · 2018
Later among the works it cites.
Meta-learning for low-resource neural machine translation
Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, and Kyunghyun Cho. 2018b · 2018
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Trivial transfer learning for low-resource neural machine translation
Tom Kocmi and Ondřej Bojar. 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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V. Rudra Murthy, Anoop Kunchukuttan, and Pushpak Bhattacharyya. 2018 · 2018
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Overview of the 5th workshop on asian translation
Toshiaki Nakazawa, Shohei Higashiyama, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Win Pa Pa, Isao Goto, Hideya Mino, Katsuhito Sudoh, and Sadao Kurohashi. 2018 · 2018
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Rapid adaptation of neural machine translation to new languages
Graham Neubig and Junjie Hu. 2018 · 2018
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Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich Languages
Mārcis Pinnis, Matīss Rikters, and Rihards Krišlauks. 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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Parameter sharing methods for multilingual self-attentional translation models
Devendra Sachan and Graham Neubig. 2018 · 2018
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Zero-shot dual machine translation
Lierni Sestorain, Massimiliano Ciaramita, Christian Buck, and Thomas Hofmann. 2018 · 2018
Later among the works it cites.
Multilingual NMT with a language-independent attention bridge
Raúl Vázquez, Alessandro Raganato, Jörg Tiedemann, and Mathias Creutz. 2018 · 2018
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Three strategies to improve one-to-many multilingual translation
Yining Wang, Jiajun Zhang, Feifei Zhai, Jingfang Xu, and Chengqing Zong. 2018 · 2018
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Adaptive knowledge sharing in multi-task learning: Improving low-resource neural machine translation
Poorya Zaremoodi, Wray Buntine, and Gholamreza Haffari. 2018 · 2018
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Massively Multilingual Neural Machine Translation
Roee Aharoni, Melvin Johnson, and Orhan Firat. 2019 · 2019
Closest in time.
Learning multilingual word embeddings in latent metric space: a geometric approach
Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, and Bamdev Mishra. 2019 · 2019
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Multilingual neural machine translation with knowledge distillation
Xu Tan, Yi Ren, Di He, Tao Qin, and Tie-Yan Liu. 2019 · 2019
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Multilingual neural machine translation with soft decoupled encoding
Xinyi Wang, Hieu Pham, Philip Arthur, and Graham Neubig. 2019 · 2019
Closest in time.