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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 – 13 of 13 1 Improving Zero-Shot Translation by Disentangling Positional Information ... Liu, Danni; Niehues, Jan; Cross, James. - : Association for Computational Linguistics, 2021 BASE Show details 2 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 3 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 4 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 5 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 6 Improving Zero-Shot Translation by Disentangling Positional Information Liu, Danni; Li, Xian; Niehues, Jan. - : Association for Computational Linguistics, 2021 BASE Show details 7 Unsupervised quality estimation for neural machine translation Fomicheva, Marina; Guzmán, Francisco; Chaudhary, Vishrav... In: 8 ; 539 ; 555 (2020) BASE Show details 8 An exploratory study on multilingual quality estimation Renduchintala, Adithya; Fomicheva, Marina; Blain, Frederic... In: 366 ; 377 (2020) BASE Show details 9 BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task Guzmán, Francisco; Fomicheva, Marina; Blain, Frédéric; Sun, Shuo; Specia, Lucia; Yankovskaya, Lisa; Chaudhary, Vishrav; Fishel, Mark In: 1010 ; 1017 (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://www.aclweb.org/anthology/2020.wmt-1.116/ ; This paper presents our submission to the WMT2020 Shared Task on Quality Estimation (QE). We participate in Task and Task 2 focusing on sentence-level prediction. We explore (a) a black-box approach to QE based on pre-trained representations; and (b) glass-box approaches that leverage various indicators that can be extracted from the neural MT systems. In addition to training a feature-based regression model using glass-box quality indicators, we also test whether they can be used to predict MT quality directly with no supervision. We assess our systems in a multi-lingual setting and show that both types of approaches generalise well across languages. Our black-box QE models tied for the winning submission in four out of seven language pairs inTask 1, thus demonstrating very strong performance. The glass-box approaches also performed competitively, representing a light-weight alternative to the neural-based models. URL: http://hdl.handle.net/2436/623856 BASE Hide details 10 Findings of the WMT 2020 shared task on quality estimation Fomicheva, Marina; Fonseca, Erick; Guzmán, Francisco... In: 743 ; 764 (2020) BASE Show details 11 Pairwise Neural Machine Translation Evaluation ... Guzman, Francisco; Joty, Shafiq; Marquez, Lluis. - : arXiv, 2019 BASE Show details 12 Machine Translation Evaluation with Neural Networks ... Guzmán, Francisco; Joty, Shafiq R.; Màrquez, Lluís. - : arXiv, 2017 BASE Show details 13 Niveles de dificultad de la conciencia fonológica y aprendizaje lector ; Levels of difculty in phonological awareness and learning to read Aguilar Villagrán, Manuel; Marchena Consejero, Esperanza; Navarro Guzmán, Francisco José Ignacio... In: Aguilar, M., Marchena, E., Navarro, J. I., & Menacho, I. (2011). Niveles de dificultad de la conciencia fonológica y aprendizaje lector. [Levels of difculty in phonological awareness and learning to read]. Revista de Logopedia, Foniatría y Audiología , 31(2), 96-105. doi:10.1016/S0214-4603(11)70177-2 (2014) BASE Show details

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