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Multilingual NMT has become an attractive solution for MT deployment in production.
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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Multilingual translation with extensible multilingual pretraining and finetuning
Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, and Angela Fan. 2020 · 2008
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Beyond English-centric multilingual machine translation
Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, et al. 2020 · 2010
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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chrF: character n-gram F-score for automatic MT evaluation
Maja Popović. 2015 · 2015
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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
Earlier work this paper cites.
Speeding up neural machine translation decoding by shrinking run-time vocabulary
Xing Shi and Kevin Knight. 2017 · 2017
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Compressing word embeddings via deep compositional code learning
Raphael Shu and Hideki Nakayama. 2017 · 2017
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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, Mike Schuster, Noam Shazeer, Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Zhifeng Chen, Yonghui Wu, and Macduff Hughes. 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
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OpenNMT system description for WNMT 2018: 800 words/sec on a single-core CPU
Jean Senellart, Dakun Zhang, Bo Wang, Guillaume Klein, Jean-Pierre Ramatchandirin, Josep Crego, and Alexander Rush. 2018 · 2018
Earlier work this paper cites.
Massively multilingual neural machine translation
Roee Aharoni, Melvin Johnson, and Orhan Firat. 2019 · 2019
Earlier work this paper cites.
Simple, scalable adaptation for neural machine translation
Ankur Bapna and Orhan Firat. 2019 · 2019
Earlier work this paper cites.
Naver Labs Europe’s systems for the WMT19 machine translation robustness task
Alexandre Berard, Ioan Calapodescu, and Claude Roux. 2019 · 2019
Cited alongside, same era.
A call for prudent choice of subword merge operations in neural machine translation
Shuoyang Ding, Adithya Renduchintala, and Kevin Duh. 2019 · 2019
Cited alongside, same era.
From research to production and back: Ludicrously fast neural machine translation
Young Jin Kim, Marcin Junczys-Dowmunt, Hany Hassan, Alham Fikri Aji, Kenneth Heafield, Roman Grundkiewicz, and Nikolay Bogoychev. 2019 · 2019
Cited alongside, same era.
fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
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
Monolingual adapters for zero-shot neural machine translation
Jerin Philip, Alexandre Berard, 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.
OPPO’s machine translation systems for WMT20
Tingxun Shi, Shiyu Zhao, Xiaopu Li, Xiaoxue Wang, Qian Zhang, Di Ai, Dawei Dang, Xue Zhengshan, and Jie Hao. 2020 · 2020
Later among the works it cites.
Improving massively multilingual neural machine translation and zero-shot translation
Biao Zhang, Philip Williams, Ivan Titov, and Rico Sennrich. 2020 · 2020
Later among the works it cites.
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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Cited alongside, same era.
Losing heads in the lottery: Pruning transformer attention in neural machine translation
Maximiliana Behnke and Kenneth Heafield. 2020 · 2020
Cited alongside, same era.
Recent advances in Google Translate
Isaac Caswell and Google Research Bowen Liang, Software Engineers. 2020 · 2020
Cited alongside, same era.
Complete multilingual neural machine translation
Markus Freitag and Orhan Firat. 2020 · 2020
Cited alongside, same era.
Efficient inference for neural machine translation
Yi-Te Hsu, Sarthak Garg, Yi-Hsiu Liao, and Ilya Chatsviorkin. 2020 · 2020
Cited alongside, same era.
Shallow-to-deep training for neural machine translation
Bei Li, Ziyang Wang, Hui Liu, Yufan Jiang, Quan Du, Tong Xiao, Huizhen Wang, and Jingbo Zhu. 2020 · 2020
Cited alongside, same era.
Understanding the difficulty of training transformers
Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, and Jiawei Han. 2020 · 2020
Cited alongside, same era.
Revisiting Modularized Multilingual NMT to Meet Industrial Demands
Sungwon Lyu, Bokyung Son, Kichang Yang, and Jaekyoung Bae. 2020 · 2020
Cited alongside, same era.
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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Multilingual neural machine translation with deep encoder and multiple shallow decoders
Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, and Xian Li. 2021 · 2021
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When attention meets fast recurrence: Training language models with reduced compute
Tao Lei. 2021 · 2021
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An efficient transformer decoder with compressed sub-layers
Yanyang Li, Ye Lin, Tong Xiao, and Jingbo Zhu. 2021 · 2021
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Do Transformer modifications transfer across implementations and applications?
Sharan Narang, Hyung Won Chung, Yi Tay, William Fedus, Thibault Fevry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, et al. 2021 · 2021
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Language tags matter for zero-shot neural machine translation
Liwei Wu, Shanbo Cheng, Mingxuan Wang, and Lei Li. 2021 · 2021
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Share or not? learning to schedule language-specific capacity for multilingual translation
Biao Zhang, Ankur Bapna, Rico Sennrich, and Orhan Firat. 2021 · 2021
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