Machine-Assisted Literary Translation

This deposit contains data for two studies where English-to-Chinese translators used neural machine translation (MT) to translate science fiction short stories in Trados Studio. One of the studies (t-p) compares post-editing to a ‘no MT’ condition. The other (segmentation) examines two ways of presenting the texts on screen for post-editing, namely by segmenting them into paragraphs or into sentences.

The dataset is licensed under a Creative Commons "CC BY-NC-SA 2.5" license.

Complete download (zip, 1.4 MiB)

Creator(s) Lucas Nunes Vieira, Natalie Zelenka, Michael Carl
Contributor(s) Roy Youdale, Xiaochun Zhang
Publication date 10 May 2022
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.8jrzn12338nd2169npievph4w
Citation Lucas Nunes Vieira, Natalie Zelenka, Michael Carl (2022): Machine-Assisted Literary Translation.
Total size 1.4 MiB

Data Resources