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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 – 16 of 16 1 Multilingual Unsupervised Sentence Simplification Martin, Louis; Fan, Angela; de la Clergerie, Éric... In: https://hal.inria.fr/hal-03109299 ; 2021 (2021) BASE Show details 2 Text Generation with and without Retrieval ; Génération de textes basés sur la connaissance avec et sans recherche Fan, Angela. - : HAL CCSD, 2021 In: https://hal.univ-lorraine.fr/tel-03542634 ; Computer Science [cs]. Université de Lorraine, 2021. English. ⟨NNT : 2021LORR0164⟩ (2021) BASE Show details 3 The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation ... Goyal, Naman; Gao, Cynthia; Chaudhary, Vishrav. - : arXiv, 2021 BASE Show details 4 Tricks for Training Sparse Translation Models ... Dua, Dheeru; Bhosale, Shruti; Goswami, Vedanuj. - : arXiv, 2021 BASE Show details 5 Facebook AI WMT21 News Translation Task Submission ... Tran, Chau; Bhosale, Shruti; Cross, James. - : arXiv, 2021 BASE Show details 6 Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas ... Mager, Manuel; Oncevay, Arturo; Ebrahimi, Abteen. - : Association for Computational Linguistics, 2021 BASE Show details 7 Alternative Input Signals Ease Transfer in Multilingual Machine Translation ... Sun, Simeng; Fan, Angela; Cross, James. - : arXiv, 2021 BASE Show details 8 AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages ... Ebrahimi, Abteen; Mager, Manuel; Oncevay, Arturo. - : arXiv, 2021 BASE Show details 9 Multilingual AMR-to-Text Generation Fan, Angela; Gardent, Claire In: 2020 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-02999676 ; 2020 Conference on Empirical Methods in Natural Language Processing, Nov 2020, Punta Cana, Dominican Republic (2020) BASE Show details 10 Augmenting Transformers with KNN-Based Composite Memory for Dialog Fan, Angela; Gardent, Claire; Braud, Chloé... In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02999678 ; Transactions of the Association for Computational Linguistics, The MIT Press, In press, ⟨10.1162/tacl_a_00356⟩ ; https://transacl.org/index.php/tacl (2020) BASE Show details 11 Multilingual Translation with Extensible Multilingual Pretraining and Finetuning ... Tang, Yuqing; Tran, Chau; Li, Xian. - : arXiv, 2020 BASE Show details 12 Nearest Neighbor Machine Translation ... Khandelwal, Urvashi; Fan, Angela; Jurafsky, Dan. - : arXiv, 2020 BASE Show details 13 Multilingual AMR-to-Text Generation ... Fan, Angela; Gardent, Claire. - : arXiv, 2020 BASE Show details 14 Facebook AI's WMT20 News Translation Task Submission ... Chen, Peng-Jen; Lee, Ann; Wang, Changhan. - : arXiv, 2020 BASE Show details 15 Beyond English-Centric Multilingual Machine Translation ... Fan, Angela; Bhosale, Shruti; Schwenk, Holger; Ma, Zhiyi; El-Kishky, Ahmed; Goyal, Siddharth; Baines, Mandeep; Celebi, Onur; Wenzek, Guillaume; Chaudhary, Vishrav; Goyal, Naman; Birch, Tom; Liptchinsky, Vitaliy; Edunov, Sergey; Grave, Edouard; Auli, Michael; Joulin, Armand. - : arXiv, 2020 Abstract: Existing work in translation demonstrated the potential of massively multilingual machine translation by training a single model able to translate between any pair of languages. However, much of this work is English-Centric by training only on data which was translated from or to English. While this is supported by large sources of training data, it does not reflect translation needs worldwide. In this work, we create a true Many-to-Many multilingual translation model that can translate directly between any pair of 100 languages. We build and open source a training dataset that covers thousands of language directions with supervised data, created through large-scale mining. Then, we explore how to effectively increase model capacity through a combination of dense scaling and language-specific sparse parameters to create high quality models. Our focus on non-English-Centric models brings gains of more than 10 BLEU when directly translating between non-English directions while performing competitively to the ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2010.11125 https://arxiv.org/abs/2010.11125 BASE Hide details 16 MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases ... Martin, Louis; Fan, Angela; de la Clergerie, Éric. - : arXiv, 2020 BASE Show details

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