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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 – 4 of 4 1 CUBBITT Translation Models (en-cs) (v1.0) Popel, Martin; Tomková, Markéta; Tomek, Jakub. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021 BASE Show details 2 CUBBITT Translation Models (en-pl) (v1.0) Popel, Martin; Tomková, Markéta; Tomek, Jakub. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021 BASE Show details 3 CUBBITT Translation Models (en-fr) (v1.0) Popel, Martin; Tomková, Markéta; Tomek, Jakub. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021 BASE Show details 4 Manual Re-evaluation of Translation Quality of WMT 2018 English-Czech systems Popel, Martin; Tomková, Markéta; Tomek, Jakub. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020 Abstract: This data set contains four types of manual annotation of translation quality, focusing on the comparison of human and machine translation quality (aka human-parity). The machine translation system used is English-Czech CUNI Transformer (CUBBITT). The annotations distinguish adequacy, fluency and overall quality. One of the types is Translation Turing test - detecting whether the annotators can distinguish human from machine translation. All the sentences are taken from the English-Czech test set newstest2018 (WMT2018 News translation shared task www.statmt.org/wmt18/translation-task.html), but only from the half with originally English sentences translated to Czech by a professional agency. Keyword: adequacy; fluency; machine translation; manual evaluation; Translation Turing test URL: http://hdl.handle.net/11234/1-3209 BASE Hide details

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