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Zero-shot translation aims to translate between language pairs not seen during training in Multilingual Machine Translation (MMT) and is largely considered an open problem.
The missing ingredient in zero-shot neural machine translation
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, and Wolfgang Macherey. 2019 · 1903
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Europarl: A parallel corpus for statistical machine translation
Philipp Koehn. 2005 · 2005
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Analysis of representations for domain adaptation
Shai Ben-David, John Blitzer, Koby Crammer, and Fernando Pereira. 2006 · 2006
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Parallel data, tools and interfaces in OPUS
Jörg Tiedemann. 2012 · 2012
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Findings of the 2017 conference on machine translation (WMT17)
Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Shujian Huang, Matthias Huck, Philipp Koehn, Qun Liu, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Raphael Rubino, Lucia Specia, and Marco Turchi. 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, et al. 2017 · 2017
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Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov. 2017 · 2017
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chrf++: words helping character n-grams
Maja Popović. 2017 · 2017
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Word translation without parallel data
Guillaume Lample, Alexis Conneau, Marc’Aurelio Ranzato, Ludovic Denoyer, and Hervé Jégou. 2018 · 2018
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Complete multilingual neural machine translation
Markus Freitag and Orhan Firat. 2020 · 2020
Cited alongside, same era.
COMET: A neural framework for MT evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha, and Alon Lavie. 2020 · 2020
Cited alongside, same era.
Improving massively multilingual neural machine translation and zero-shot translation
Biao Zhang, Philip Williams, Ivan Titov, and Rico Sennrich. 2020 · 2020
Cited alongside, same era.
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. 2021 · 2021
Cited alongside, same era.
Improving zero-shot translation by disentangling positional information
Danni Liu, Jan Niehues, James Cross, Francisco Guzmán, and Xian Li. 2021 · 2021
Cited alongside, same era.
Contrastive learning for many-to-many multilingual neural machine translation
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 Guzmán, and Angela Fan. 2022 · 2022
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Improving zero-shot multilingual translation with universal representations and cross-mapping
Shuhao Gu and Yang Feng. 2022 · 2022
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al. 2022 · 2022
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On the off-target problem of zero-shot multilingual neural machine translation
Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, and Baobao Chang. 2023 · 2023
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Small data, big impact: Leveraging minimal data for effective machine translation
Jean Maillard, Cynthia Gao, Elahe Kalbassi, Kaushik Ram Sadagopan, Vedanuj Goswami, Philipp Koehn, Angela Fan, and Francisco Guzman. 2023 · 2023
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Xiao Pan, Mingxuan Wang, Liwei Wu, and Lei Li. 2021 · 2021
Cited alongside, same era.
Language tags matter for zero-shot neural machine translation
Liwei Wu, Shanbo Cheng, Mingxuan Wang, and Lei Li. 2021 · 2021
Cited alongside, same era.
Improving multilingual translation by representation and gradient regularization
Yilin Yang, Akiko Eriguchi, Alexandre Muzio, Prasad Tadepalli, Stefan Lee, and Hany Hassan. 2021 · 2021
Cited alongside, same era.
Towards making the most of cross-lingual transfer for zero-shot neural machine translation
Guanhua Chen, Shuming Ma, Yun Chen, Dongdong Zhang, Jia Pan, Wenping Wang, and Furu Wei. 2022 · 2022
Cited alongside, same era.
No language left behind: Scaling human-centered machine translation
Marta R Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, et al. 2022 · 2022
Cited alongside, same era.
NTREX-128 – news test references for MT evaluation of 128 languages
Christian Federmann, Tom Kocmi, and Ying Xin. 2022 · 2022
Cited alongside, same era.
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Exploring the impact of layer normalization for zero-shot neural machine translation
Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu, and Sadao Kurohashi. 2023 · 2023
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Adaptive machine translation with large language models
Yasmin Moslem, Rejwanul Haque, and Andy Way. 2023 · 2023
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Rico Sennrich, Jannis Vamvas, and Alireza Mohammadshahi. 2023 · 2023
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Towards a better understanding of variations in zero-shot neural machine translation performance
Shaomu Tan and Christof Monz. 2023 · 2023
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Beyond shared vocabulary: Increasing representational word similarities across languages for multilingual machine translation
Di Wu and Christof Monz. 2023 · 2023
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Machine translation with large language models: Prompting, few-shot learning, and fine-tuning with QLoRA
Xuan Zhang, Navid Rajabi, Kevin Duh, and Philipp Koehn. 2023 · 2023
Later among the works it cites.