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State of the art neural network approaches enable massive multilingual translation. How close are we to universal translation between any spoken, written or signed language? Access through
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are calculated during checkout ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support REFERENCES * Hassan, H. et al.
Preprint at https://arxiv.org/abs/1803.05567 (2018). * Johnson, M. et al. _Trans. Assoc. Comput. Linguist._ 5, 339–351 (2017). Article Google Scholar * Tang, Y. et al. Preprint at
https://arxiv.org/abs/2008.00401 (2020). * Fan, A. et al. Preprint at https://arxiv.org/abs/2010.11125 (2020). * Lewis, M. et al. in _Proc. 58th Annual Meeting of the Association for
Computational Linguistics_ 7871–7880 (ACL, 2020). * Escolano, C., Costa-jussà, M. R., Fonollosa, J. A. R. & Segura, C. Preprint at https://arxiv.org/abs/2011.01097 (2021). * Cho, K. et
al. in _Proc. 2014 Conf. Empirical Methods in Natural Language Processing_ 1724–1734 (ACL, 2014). * Firat, O., Cho, K. & Bengio, Y. in _Proc. 2016 Conf. North American Chapter of the
Association for Computational Linguistics: Human Language Technologies_ 866–875 (ACL, 2016). * Aharoni, R., Johnson, M. & Firat, O. in _Proc. 2019 Conf. North American Chapter of the
Association for Computational Linguistics: Human Language Technologies_ 3874–3884 (ACL, 2019). * Vaswani, A. et al. in _Proc. 31st Int. Conf. Neural Information Processing Systems_ 6000–6010
(Curran Associates, 2017). * Barrault, L. et al. in _Proc. Third Conf. Machine Translation: Shared Task Papers_ 304–323 (ACL, 2018). * Jia, Y. et al. in _Proc. INTERSPEECH_ 1123–1127 (ICSA,
2019). * Zhou, S., Zeng, X., Zhou, Y., Anastasopoulos, A. & Neubig, G. in _Proc. Fourth Conf. Machine Translation_ 565–571 (ACL, 2019). * Costa-jussà, M. R. _Nat. Mach. Intell._ 1,
495–496 (2019). Article Google Scholar * Blodgett, S., Barocas, S., Daumé, H. III & Wallach, H. in _Proc. 58th Annual Meeting of the Association for Computational Linguistics_
5454–5476 (ACL, 2020). Download references AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Universitat Politècnica de Catalunya, Barcelona, Spain Marta R. Costa-jussà Authors * Marta R.
Costa-jussà View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Marta R. Costa-jussà. RIGHTS AND PERMISSIONS Reprints
and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Costa-jussà, M.R. Towards universal translation. _Nat Mach Intell_ 3, 376–377 (2021). https://doi.org/10.1038/s42256-021-00346-7 Download
citation * Published: 07 May 2021 * Issue Date: May 2021 * DOI: https://doi.org/10.1038/s42256-021-00346-7 SHARE THIS ARTICLE Anyone you share the following link with will be able to read
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