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Aleš Tamchyna

1 accepted papers

2021

Neural Machine Translation Quality and Post-Editing Performance

EMNLP 2021main

We test the natural expectation that using MT in professional translation saves human processing time. The last such study was carried out by Sanchez-Torron and Koehn (2016) with phrase-based MT, artificially reducing the translation quality. In contrast, we focus on neural MT (NMT) of high quality,…