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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 – 8 of 8 1 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 2 Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations ... Maruf, Sameen; Martins, André F. T.; Haffari, Gholamreza. - : arXiv, 2018 BASE Show details 3 Universal Dependencies 2.3 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 4 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 5 WMT18 Quality Estimation Shared Task Test Data Specia, Lucia; Logacheva, Varvara; Blain, Frederic. - : University of Sheffield, 2018 BASE Show details 6 WMT18 Quality Estimation Shared Task Training and Development Data Specia, Lucia; Logacheva, Varvara; Blain, Frederic. - : University of Sheffield, 2018 BASE Show details 7 Findings of the WMT 2018 shared task on quality estimation Specia, Lucia; Logacheva, Varvara; Blain, Frederic; Astudillo, Ramón; Martins, André. - : Association for Computational Linguistics, 2018 Abstract: © 2018 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: http://dx.doi.org/10.18653/v1/W18-6451 ; We report the results of the WMT18 shared task on Quality Estimation, i.e. the task of predicting the quality of the output of machine translation systems at various granularity levels: word, phrase, sentence and document. This year we include four language pairs, three text domains, and translations produced by both statistical and neural machine translation systems. Participating teams from ten institutions submitted a variety of systems to different task variants and language pairs. ; The data and annotations collected for Tasks 1, 2 and 3 was supported by the EC H2020 QT21 project (grant agreement no. 645452). The shared task organisation was also supported by the QT21 project, national funds through Fundacao para a Ciencia e Tecnologia (FCT), with references UID/CEC/50021/2013 and UID/EEA/50008/2013, and by the European Research Council (ERC StG DeepSPIN 758969). We would also like to thank Julie Beliao and the Unbabel Quality Team for coordinating the annotation of the dataset used in Task 4. URL: http://hdl.handle.net/2436/623555 https://doi.org/10.18653/v1/W18-6451 BASE Hide details 8 Grupos excluídos no discurso da mídia: uma análise de discurso crítica Martins, André Ricardo Nunes In: DELTA: Documentação e Estudos em Linguística Teórica e Aplicada; v. 21, n. 3 (2005): NÚMERO ESPECIAL ; 1678-460X ; 0102-4450 (2018) BASE Show details

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