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Google's neural machine translation system: Bridging the gap between human and machine translation

Y. Wu, M. Schuster, Z. Chen, Q. Le, M. Norouzi, W. Macherey, M. Krikun, Y. Cao, Q. Gao, K. Macherey, и others. arXiv preprint arXiv:1609.08144, (2016)

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Petru Joan Maxim

Angela Maximini

Adel Maximos

Alexander Maximov

Maria Maxim

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Google's Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationY. Wu, M. Schuster, Z. Chen, Q. Le, M. Norouzi, W. Macherey, M. Krikun, Y. Cao, Q. Gao, K. Macherey и 20 other автор(ы). arXiv.org, (сентября 2016)Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges.N. Arivazhagan, A. Bapna, O. Firat, D. Lepikhin, M. Johnson, M. Krikun, M. Chen, Y. Cao, G. Foster, C. Cherry и 3 other автор(ы). CoRR, (2019)Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.J. Shen, P. Nguyen, Y. Wu, Z. Chen, M. Chen, Y. Jia, A. Kannan, T. Sainath, Y. Cao, C. Chiu и 81 other автор(ы). CoRR, (2019)Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference.S. Kudugunta, Y. Huang, A. Bapna, M. Krikun, D. Lepikhin, M. Luong, и O. Firat. EMNLP (Findings), стр. 3577-3599. Association for Computational Linguistics, (2021)Google's Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationY. Wu, M. Schuster, Z. Chen, Q. Le, M. Norouzi, W. Macherey, M. Krikun, Y. Cao, Q. Gao, K. Macherey и 21 other автор(ы). (2016)cite arxiv:1609.08144.LaMDA: Language Models for Dialog Applications.R. Thoppilan, D. Freitas, J. Hall, N. Shazeer, A. Kulshreshtha, H. Cheng, A. Jin, T. Bos, L. Baker, Y. Du и 47 other автор(ы). CoRR, (2022)Subtitle Translation as Markup Translation.C. Cherry, N. Arivazhagan, D. Padfield, и M. Krikun. Interspeech, стр. 2237-2241. ISCA, (2021)GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.N. Du, Y. Huang, A. Dai, S. Tong, D. Lepikhin, Y. Xu, M. Krikun, Y. Zhou, A. Yu, O. Firat и 17 other автор(ы). ICML, том 162 из Proceedings of Machine Learning Research, стр. 5547-5569. PMLR, (2022)Explicit Enumeration of Triangulations with Multiple Boundaries.M. Krikun. Electron. J. Comb., (2007)Data Scaling Laws in NMT: The Effect of Noise and Architecture.Y. Bansal, B. Ghorbani, A. Garg, B. Zhang, M. Krikun, C. Cherry, B. Neyshabur, и O. Firat. CoRR, (2022)

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Please choose a person to relate this publication to

Petru Joan Maxim

Angela Maximini

Adel Maximos

Alexander Maximov

Maria Maxim

Другие публикации лиц с тем же именем

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