Zahra Ashktorab, Djallel Bouneffouf, et al.
IJCAI 2025
Machine Translation of arbitrary input is difficult, but the output quality can be improved significantly if writers create documents with MT in mind. This article deals with "MTranslatability" -translatability of texts by MT systems. It identifies characteristics of text that decrease MTranslatability and suggests ways to improve them. It also illustrates the effect of writing for MTranslatability by showing before-and-after pictures of output from various commercially available MT systems, and gives an overview of tools that help identify and correct the problems.
Zahra Ashktorab, Djallel Bouneffouf, et al.
IJCAI 2025
Jihun Yun, Peng Zheng, et al.
ICML 2019
Arnold.L. Rosenberg
Journal of the ACM
Victor Akinwande, Megan Macgregor, et al.
IJCAI 2024