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In this work, we explore the usefulness of target factors in neural machine translation (NMT) beyond their original purpose of predicting word lemmas and their inflections, as proposed by Garc\`ia-Mart\`inez et al., 2016.
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M. Snover, B. Dorr, R. Schwartz, L. Micciulla, and J. Makhoul, “A Study of Translation Edit Rate with Targeted Human Annotation,” in Proceedings of the 7th Conference of the Association for Machine Translation in the Americas , Cambridge, Massachusetts, USA, 2006, pp. 223–231
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P. Koehn and H. Hoang, “Factored translation models,” in Proceedings of the 2007 joint conference on empirical methods in natural language processing and computational natural language learning (EMNLP-CoNLL) , 2007
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D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” in Proceedings of the International Conference on Learning Representations (ICLR) , San Diego, CA, USA, May 2015
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R. Östling and J. Tiedemann, “Efficient word alignment with Markov Chain Monte Carlo,” Prague Bulletin of Mathematical Linguistics , vol. 106, pp. 125–146, Oct. 2016
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A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” in Advances in Neural Information Processing Systems , 2017, pp. 5998–6008
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M. García-Martínez, L. Barrault, and F. Bougares, “Factored neural machine translation architectures,” in International Workshop on Spoken Language Translation (IWSLT’16) , 2016
2016
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R. Sennrich, B. Haddow, and A. Birch, “Neural machine translation of rare words with subword units,” in Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers , 2016
2016
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2016
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P. Arthur, G. Neubig, and S. Nakamura, “Incorporating discrete translation lexicons into neural machine translation,” in Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing . Austin, Texas: Association for Computational Linguistics, Nov. 2016, pp. 1557–1567
2016
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2016
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2018
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A. Zeyer, T. Alkhouli, and H. Ney, “RETURNN as a generic flexible neural toolkit with application to translation and speech recognition,” in Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations , 2018, pp. 128–133
2018
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O. Bojar, C. Federmann, M. Fishel, Y. Graham, B. Haddow, M. Huck, P. Koehn, and C. Monz, “Findings of the 2018 conference on machine translation (wmt18),” in Proceedings of the Third Conference on Machine Translation (WMT), Volume 2: Shared Task Papers . Association for Computational Linguistics, Oct. 2018, pp. 272–307
2018
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2019
Closest in time.
L. Barrault, O. Bojar, M. R. Costa-jussà, C. Federmann, M. Fishel, Y. Graham, B. Haddow, M. Huck, P. Koehn, S. Malmasi, et al. , “Findings of the 2019 conference on machine translation (wmt19),” in Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1) , 2019, pp. 1–61
2019
Closest in time.