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Neural machine translation has become the state-of-the-art for language pairs with large parallel corpora.
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R. Sennrich, B. Haddow, and A. Birch, “Neural machine translation of rare words with subword units,” Proceedings of the 54th Annual Meeting of the ACL , p. 1715–1725, 2016. [Online]. Available: https://www.aclweb.org/anthology/P16-1162
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I. Skorokhodov, A. Rykachevskiy, D. Emelyanenko, S. Slotin, and A. Ponkratov, “Semi-supervised neural machine translation with language models,” Proceedings of AMTA 2018 Workshop: LoResMT 2018 , pp. 37–44, 2018. [Online]. Available: http://sereja.me/f/loresmt.pdf
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2016
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2016
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A. Currey, A. V. M. Barone, and K. Heafield, “Copied monolingual data improves low-resource neural machine translation,” Proceedings of the Conference on Machine Translation (WMT), Volume 1 , p. 148–156, 2017. [Online]. Available: https://www.aclweb.org/anthology/W17-4715
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2017
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M. Artetxe, G. Labaka, and E. Agirre, “A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings,” in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Melbourne, Australia: Association for Computational Linguistics, July 2018, pp. 789–798. [Online]. Available: http://aclweb.org/anthology/P18-1073
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