Learning Reduced Order Dynamics via Geometric Representations
Imran Nasim, Melanie Weber
SCML 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.
Imran Nasim, Melanie Weber
SCML 2024
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
Arnon Amir, Michael Lindenbaum
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shyam Marjit, Harshit Singh, et al.
WACV 2025