Assessing the Comprehensibility of Automatic Translations (ArisToCAT)

Publication type
C1
Publication status
Published
Authors
Macken, L., Fonteyne, M., Tezcan, A., & Daems, J
Editor
André Martins Mikel L. Forcada
Series
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT2020)
Pagination
485-486
Publisher
European Association for Machine Translation (EAMT)
Conference
EAMT2020 (Online)
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Abstract

The ArisToCAT project aims to assess the comprehensibility of ‘raw’ (unedited) MT output for readers who can only rely on the MT output. In this project description, we summarize the main results of the project and present future work.