@inproceedings{savenkov-2021-preserving,
title = "Preserving high {MT} quality for content with inline tags",
author = "Savenkov, Konstantin and
Sapunov, Grigory and
Stepachev, Pavel",
editor = "Campbell, Janice and
Huyck, Ben and
Larocca, Stephen and
Marciano, Jay and
Savenkov, Konstantin and
Yanishevsky, Alex",
booktitle = "Proceedings of Machine Translation Summit XVIII: Users and Providers Track",
month = aug,
year = "2021",
address = "Virtual",
publisher = "Association for Machine Translation in the Americas",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2021.mtsummit-up.19/",
pages = "246--276",
abstract = "Attendees will learn about how we use machine translation to provide targeted, high MT quality for content with inline tags. We offer a new and innovative approach to inserting tags into the translated text in a way that reliably preserves their quality. This process can achieve better MT quality and lower costs, as it is MT-independent, and can be used for all languages, MT engines, and use cases."
}
Markdown (Informal)
[Preserving high MT quality for content with inline tags](https://preview.aclanthology.org/jlcl-multiple-ingestion/2021.mtsummit-up.19/) (Savenkov et al., MTSummit 2021)
ACL
- Konstantin Savenkov, Grigory Sapunov, and Pavel Stepachev. 2021. Preserving high MT quality for content with inline tags. In Proceedings of Machine Translation Summit XVIII: Users and Providers Track, pages 246–276, Virtual. Association for Machine Translation in the Americas.