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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Facebook AI WMT21 News Translation Task Submission ... Tran, Chau; Bhosale, Shruti; Cross, James. - : arXiv, 2021 BASE Show details 2 Alternative Input Signals Ease Transfer in Multilingual Machine Translation ... Sun, Simeng; Fan, Angela; Cross, James. - : arXiv, 2021 BASE Show details 3 Multilingual Speech Translation from Efficient Finetuning of Pretrained Models ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Auli, Michael; Baevski, Alexei. - : Underline Science Inc., 2021 BASE Show details 4 Multilingual Translation with Extensible Multilingual Pretraining and Finetuning ... Tang, Yuqing; Tran, Chau; Li, Xian; Chen, Peng-Jen; Goyal, Naman; Chaudhary, Vishrav; Gu, Jiatao; Fan, Angela. - : arXiv, 2020 Abstract: Recent work demonstrates the potential of multilingual pretraining of creating one model that can be used for various tasks in different languages. Previous work in multilingual pretraining has demonstrated that machine translation systems can be created by finetuning on bitext. In this work, we show that multilingual translation models can be created through multilingual finetuning. Instead of finetuning on one direction, a pretrained model is finetuned on many directions at the same time. Compared to multilingual models trained from scratch, starting from pretrained models incorporates the benefits of large quantities of unlabeled monolingual data, which is particularly important for low resource languages where bitext is not available. We demonstrate that pretrained models can be extended to incorporate additional languages without loss of performance. We double the number of languages in mBART to support multilingual machine translation models of 50 languages. Finally, we create the ML50 benchmark, ... : 10 pages (main) + 5 pages (appendices). 9 tables and 2 figures ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2008.00401 https://dx.doi.org/10.48550/arxiv.2008.00401 BASE Hide details 5 Cross-lingual Retrieval for Iterative Self-Supervised Training ... Tran, Chau; Tang, Yuqing; Li, Xian. - : arXiv, 2020 BASE Show details 6 Multilingual Speech Translation with Efficient Finetuning of Pretrained Models ... Li, Xian; Wang, Changhan; Tang, Yun. - : arXiv, 2020 BASE Show details

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