Ronen Feldman, Martin Charles Golumbic
Ann. Math. Artif. Intell.
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.
Ronen Feldman, Martin Charles Golumbic
Ann. Math. Artif. Intell.
Guojing Cong, David A. Bader
Journal of Parallel and Distributed Computing
Gosia Lazuka, Andreea Simona Anghel, et al.
SC 2024
Yale Song, Zhen Wen, et al.
IJCAI 2013