Amy Lin, Sujit Roy, et al.
AGU 2024
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.
Amy Lin, Sujit Roy, et al.
AGU 2024
Ran Iwamoto, Kyoko Ohara
ICLC 2023
Aditya Malik, Nalini Ratha, et al.
CAI 2024
George Manias, Dimitris Apostolopoulos, et al.
DCOSS-IoT 2023