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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 Page: 1 2 3 4 5 Hits 1 – 20 of 88 1 NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures ... Vamvas, Jannis; Sennrich, Rico. - : arXiv, 2022 BASE Show details 2 Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise ... Aepli, Noëmi; Sennrich, Rico. - : arXiv, 2021 BASE Show details 3 On Biasing Transformer Attention Towards Monotonicity ... Rios, Annette; Amrhein, Chantal; Aepli, Noëmi. - : arXiv, 2021 BASE Show details 4 Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution ... Emelin, Denis; Sennrich, Rico. - : Association for Computational Linguistics, 2021 BASE Show details 5 ELITR Multilingual Live Subtitling: Demo and Strategy ... Bojar, Ondřej; Macháček, Dominik; Sagar, Sangeet. - : ACL Anthology, 2021 BASE Show details 6 Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation ... Zhang, Biao; Bapna, Ankur; Sennrich, Rico. - : ICLR, 2021 BASE Show details 7 Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021 ... Zhang, Biao; Sennrich, Rico. - : ACL Anthology, 2021 BASE Show details 8 On Biasing Transformer Attention Towards Monotonicity ... Rios, Annette; Amrhein, Chantal; Aepli, Noëmi. - : Association for Computational Linguistics, 2021 BASE Show details 9 Revisiting Negation in Neural Machine Translation ... 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; Nivre, Joakim; Rönchen, Philipp. - : Underline Science Inc., 2021 BASE Show details 10 Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation ... 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; Müller, Mathias; Sennrich, Rico. - : Underline Science Inc., 2021 BASE Show details 11 Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation ... 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; Sennrich, Rico; Titov, Ivan. - : Underline Science Inc., 2021 BASE Show details 12 Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ataman, Duygu; Li, Jiaoda. - : Underline Science Inc., 2021 BASE Show details 13 Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Emelin, Denis; Sennrich, Rico. - : Underline Science Inc., 2021 BASE Show details 14 Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT ... Voita, Elena; Sennrich, Rico; Titov, Ivan. - : arXiv, 2021 Abstract: Differently from the traditional statistical MT that decomposes the translation task into distinct separately learned components, neural machine translation uses a single neural network to model the entire translation process. Despite neural machine translation being de-facto standard, it is still not clear how NMT models acquire different competences over the course of training, and how this mirrors the different models in traditional SMT. In this work, we look at the competences related to three core SMT components and find that during training, NMT first focuses on learning target-side language modeling, then improves translation quality approaching word-by-word translation, and finally learns more complicated reordering patterns. We show that this behavior holds for several models and language pairs. Additionally, we explain how such an understanding of the training process can be useful in practice and, as an example, show how it can be used to improve vanilla non-autoregressive neural machine ... : EMNLP 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2109.01396 https://dx.doi.org/10.48550/arxiv.2109.01396 BASE Hide details 15 Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT ... Voita, Elena; Sennrich, Rico; Titov, Ivan. - : ACL Anthology, 2021 BASE Show details 16 Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Sennrich, Rico; Vamvas, Jannis. - : Underline Science Inc., 2021 BASE Show details 17 Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Sennrich, Rico; Titov, Ivan. - : Underline Science Inc., 2021 BASE Show details 18 On Biasing Transformer Attention Towards Monotonicity ... NAACL 2021 2021; Aepli, Noëmi; Amrhein, Chantal. - : Underline Science Inc., 2021 BASE Show details 19 Universal rewriting via machine translation Mallinson, Jonathan. - : The University of Edinburgh, 2021 BASE Show details 20 Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation Zhang, Biao; Bapna, Ankur; Sennrich, Rico... In: Zhang, Biao; Bapna, Ankur; Sennrich, Rico; Firat, Orhan (2021). Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation. In: International Conference on Learning Representations, Virtual, 3 May 2021 - 7 May 2021, ICLR. (2021) BASE Show details Page: 1 2 3 4 5

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