DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages

We introduce DivEMT, the first publicly available post-editing study of Neural Machine Translation (NMT) over a typologically diverse set of target languages. Using a strictly controlled setup, 18 professional translators were instructed to translate or post-edit the same set of English documents in...

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Veröffentlicht in:	arXiv.org 2022-10
Hauptverfasser:	Sarti, Gabriele, Bisazza, Arianna, Ana Guerberof Arenas, Toral, Antonio
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Datasets Editing Evaluation Languages Machine translation Productivity Translators
Online-Zugang:	Volltext
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