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Autor:
Mirzakhalov, Jamshidbek, Babu, Anoop, Ataman, Duygu, Kariev, Sherzod, Tyers, Francis, Abduraufov, Otabek, Hajili, Mammad, Ivanova, Sardana, Khaytbaev, Abror, Laverghetta Jr., Antonio, Moydinboyev, Behzodbek, Onal, Esra, Pulatova, Shaxnoza, Wahab, Ahsan, Firat, Orhan, Chellappan, Sriram
Recent advances in neural machine translation (NMT) have pushed the quality of machine translation systems to the point where they are becoming widely adopted to build competitive systems. However, there is still a large number of languages that are
Externí odkaz:
http://arxiv.org/abs/2109.04593
Autor:
Mirzakhalov, Jamshidbek, Babu, Anoop, Ataman, Duygu, Kariev, Sherzod, Tyers, Francis M., Otabek Abduraufov, Otabek, Hajili, Mammad, Ivanova, Sardana, Khaytbaev, Abror, Laverghetta Jr., Antonio, Moydinboyev, Bekhzodbek, Onal, Esra, Pulatova, Shaxnoza, Wahab, Ahsan, Firat, Orhan, Chellappan, Sriram
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Recent advances in neural machine translation (NMT) have pushed the quality of machine translation systems to the point where they are becoming widely adopted to build competitive systems. However, there is still a large number of languages that are