Dilated Convolution for Time Series Learning
Wang Zhang, Subhro Das, et al.
ICASSP 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.
Wang Zhang, Subhro Das, et al.
ICASSP 2025
Rama Akkiraju, Pinar Keskinocak, et al.
Applied Intelligence
Yi Zhou, Parikshit Ram, et al.
ICLR 2023
Rei Odaira, Jose G. Castanos, et al.
IISWC 2013