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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 Hits 1 – 20 of 27 1 The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation ... Goyal, Naman; Gao, Cynthia; Chaudhary, Vishrav. - : arXiv, 2021 BASE Show details 2 LAWDR: Language-Agnostic Weighted Document Representations from Pre-trained Models ... Gong, Hongyu; Chaudhary, Vishrav; Tang, Yuqing. - : arXiv, 2021 BASE Show details 3 Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications ... Sun, Shuo; El-Kishky, Ahmed; Chaudhary, Vishrav. - : arXiv, 2021 BASE Show details 4 Improving Zero-Shot Translation by Disentangling Positional Information ... Liu, Danni; Niehues, Jan; Cross, James. - : Association for Computational Linguistics, 2021 BASE Show details 5 As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical 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; Cohn, Trevor; El-Kishky, Ahmed. - : Underline Science Inc., 2021 BASE Show details 6 Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning ... 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; Cohn, Trevor; El-Kishky, Ahmed. - : Underline Science Inc., 2021 BASE Show details 7 Detecting Hallucinated Content in Conditional Neural Sequence Generation ... 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; Diab, Mona; Ghazvininejad, Marjan. - : Underline Science Inc., 2021 BASE Show details 8 Alternative Input Signals Ease Transfer in Multilingual Machine Translation ... Sun, Simeng; Fan, Angela; Cross, James. - : arXiv, 2021 BASE Show details 9 Improving Zero-Shot Translation by Disentangling Positional Information ... 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; Cross, James; Guzman, Francisco. - : Underline Science Inc., 2021 BASE Show details 10 XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment ... El-Kishky, Ahmed; Renduchintala, Adithya; Cross, James. - : arXiv, 2021 BASE Show details 11 Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data ... Ko, Wei-Jen; El-Kishky, Ahmed; Renduchintala, Adithya. - : arXiv, 2021 BASE Show details 12 Improving Zero-Shot Translation by Disentangling Positional Information Liu, Danni; Li, Xian; Niehues, Jan. - : Association for Computational Linguistics, 2021 BASE Show details 13 Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance ... El-Kishky, Ahmed; Guzmán, Francisco. - : arXiv, 2020 BASE Show details 14 MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ... Fomicheva, Marina; Sun, Shuo; Fonseca, Erick. - : arXiv, 2020 BASE Show details 15 Improving Zero-Shot Translation by Disentangling Positional Information ... Liu, Danni; Niehues, Jan; Cross, James. - : arXiv, 2020 BASE Show details 16 Unsupervised quality estimation for neural machine translation Fomicheva, Marina; Guzmán, Francisco; Chaudhary, Vishrav; Fishel, Mark; Specia, Lucia; Sun, Shuo; Aletras, Nikolaos; Blain, Frédéric; Yankovskaya, Lisa In: 8 ; 539 ; 555 (2020) Abstract: © 2020 The Authors. Published by Association for Computational Linguistics. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1162/tacl_a_00330 ; Quality Estimation (QE) is an important component in making Machine Translation (MT) useful in real-world applications, as it is aimed to inform the user on the quality of the MT output at test time. Existing approaches require large amounts of expert annotated data, computation and time for training. As an alternative, we devise an unsupervised approach to QE where no training or access to additional resources besides the MT system itself is required. Different from most of the current work that treats the MT system as a black box, we explore useful information that can be extracted from the MT system as a by-product of translation. By employing methods for uncertainty quantification, we achieve very good correlation with human judgments of quality, rivalling state-of-the-art supervised QE models. To evaluate our approach we collect the first dataset that enables work on both black-box and glass-box approaches to QE. Keyword: cs.CL URL: http://hdl.handle.net/2436/623630 https://doi.org/10.1162/tacl_a_00330 BASE Hide details 17 An exploratory study on multilingual quality estimation Renduchintala, Adithya; Fomicheva, Marina; Blain, Frederic... In: 366 ; 377 (2020) BASE Show details 18 BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task Guzmán, Francisco; Fomicheva, Marina; Blain, Frédéric... In: 1010 ; 1017 (2020) BASE Show details 19 Findings of the WMT 2020 shared task on quality estimation Fomicheva, Marina; Fonseca, Erick; Guzmán, Francisco... In: 743 ; 764 (2020) BASE Show details 20 MLQE-PE: A multilingual quality estimation and post-editing dataset Fomicheva, Marina; Sun, Shuo; Fonseca, Erick. - : arXiv, 2020 BASE Show details Page: 1 2

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