A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
On Integrating Discourse in Machine Translation
2017
Proceedings of the Third Workshop on Discourse in Machine Translation
As the quality of Machine Translation (MT) improves, research on improving discourse in automatic translations becomes more viable. This has resulted in an increase in the amount of work on discourse in MT. However many of the existing models and metrics have yet to integrate these insights. Part of this is due to the evaluation methodology, based as it is largely on matching to a single reference. At a time when MT is increasingly being used in a pipeline for other tasks, the semantic element
doi:10.18653/v1/w17-4814
dblp:conf/discomt/Smith17
fatcat:zyoblphynjh3bnebdrfvr76fjy