Peer-Reviewed Journal Details
Mandatory Fields
Moorkens J.;Toral A.;Castilho S.;Way A.
2018
January
TRANSLATION SPACES
Translators' perceptions of literary post-editing using statistical and neural machine translation
Published
8 ()
Optional Fields
Human factors in machine translation Literary machine translation Machine translation Neural machine translation
7
2
240
262
© John Benjamins Publishing Company. In the context of recent improvements in the quality of machine translation (MT) output and new use cases being found for that output, this article reports on an experiment using statistical and neural MT systems to translate literature. Six professional translators with experience of literary translation produced English-to-Catalan translations under three conditions: translation from scratch, neural MT post-editing, and statistical MT post-editing. They provided feedback before and after the translation via questionnaires and interviews. While all participants prefer to translate from scratch, mostly due to the freedom to be creative without the constraints of segment-level segmentation, those with less experience find the MT suggestions useful.
2211-3711
10.1075/ts.18014.moo
Grant Details