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This paper proposes a technique for adding a new source or target language to an existing multilingual NMT model without re-training it on the initial set of languages.
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, et al. 2019 · 1907
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Carlos Escolano, Marta R Costa-jussà, José AR Fonollosa, and Mikel Artetxe. 2020 · 2006
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langid.py: An off-the-shelf language identification tool
Marco Lui and Timothy Baldwin. 2012 · 2012
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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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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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The United Nations parallel corpus v1.0
Michał Ziemski, Marcin Junczys-Dowmunt, and Bruno Pouliquen. 2016 · 2016
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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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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Rapid adaptation of neural machine translation to new languages
Graham Neubig and Junjie Hu. 2018 · 2018
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When and why are pre-trained word embeddings useful for neural machine translation?
Ye Qi, Devendra Sachan, Matthieu Felix, Sarguna Padmanabhan, and Graham Neubig. 2018 · 2018
Earlier work this paper cites.
Freezing subnetworks to analyze domain adaptation in neural machine translation
Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya D. McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, and Philipp Koehn. 2018 · 2018
Cited alongside, same era.
Massively multilingual neural machine translation
Roee Aharoni, Melvin Johnson, and Orhan Firat. 2019 · 2019
Cited alongside, same era.
Simple, scalable adaptation for neural machine translation
Ankur Bapna and Orhan Firat. 2019 · 2019
Cited alongside, same era.
Naver Labs Europe’s systems for the WMT19 machine translation robustness task
Alexandre Bérard, Ioan Calapodescu, and Claude Roux. 2019 · 2019
Cited alongside, same era.
From bilingual to multilingual neural machine translation by incremental training
Carlos Escolano, Marta R. Costa-jussà, and José A. R. Fonollosa. 2019 · 2019
Cited alongside, same era.
Adapting multilingual neural machine translation to unseen languages
Revisiting Modularized Multilingual NMT to Meet Industrial Demands
Sungwon Lyu, Bokyung Son, Kichang Yang, and Jaekyoung Bae. 2020 · 2020
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Monolingual adapters for zero-shot neural machine translation
Jerin Philip, Alexandre Bérard, Matthias Gallé, and Laurent Besacier. 2020 · 2020
Later among the works it cites.
Making monolingual sentence embeddings multilingual using knowledge distillation
Nils Reimers and Iryna Gurevych. 2020 · 2020
Later among the works it cites.
Efficient inference for multilingual neural machine translation
Alexandre Bérard, Dain Lee, Stéphane Clinchant, Kweonwoo Jung, and Vassilina Nikoulina. 2021 · 2021
Closest in time.
Multilingual machine translation: Closing the gap between shared and language-specific encoder-decoders
Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, and Mikel Artetxe. 2021 · 2021
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Surafel Melaku Lakew, Alina Karakanta, Matteo Negri, Marcello Federico, and Marco Turchi. 2019 · 2019
Cited alongside, same era.
On the cross-lingual transferability of monolingual representations
Mikel Artetxe, Sebastian Ruder, and Dani Yogatama. 2020 · 2020
Cited alongside, same era.
ParaCrawl: Web-scale acquisition of parallel corpora
Marta Bañón, Pinzhen Chen, Barry Haddow, Kenneth Heafield, Hieu Hoang, Miquel Esplà-Gomis, Mikel L. Forcada, Amir Kamran, Faheem Kirefu, Philipp Koehn, Sergio Ortiz Rojas, Leopoldo Pla Sempere, Gema Ramírez-Sánchez, Elsa Sarrías, Marek Strelec, Brian Thompson, William Waites, Dion Wiggins, and Jaume Zaragoza. 2020 · 2020
Cited alongside, same era.
Complete multilingual neural machine translation
Markus Freitag and Orhan Firat. 2020 · 2020
Cited alongside, same era.
Towards continual learning for multilingual machine translation via vocabulary substitution
Xavier Garcia, Noah Constant, Ankur Parikh, and Orhan Firat. 2021 · 2021
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The FLORES-101 evaluation benchmark for low-resource and multilingual machine translation
Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Krishnan, Marc’Aurelio Ranzato, Francisco Guzman, and Angela Fan. 2021 · 2021
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UNKs everywhere: Adapting multilingual language models to new scripts
Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, and Sebastian Ruder. 2021 · 2021
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Multilingual unsupervised neural machine translation with denoising adapters
Ahmet Üstün, Alexandre Bérard, Laurent Besacier, and Matthias Gallé. 2021 · 2021
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