@inproceedings{jonsson-jaikat-2021-data,
title = "A Data-Centric Approach to Real-World Custom {NMT} for {A}rabic",
author = "Jonsson, Rebecca and
Jaikat, Ruba and
Nasir, Abdallah and
Al-Khdour, Nour and
Alisis, Sara",
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://aclanthology.org/2021.mtsummit-up.24",
pages = "335--352",
abstract = "In this presentation, we will present our approach to taking Custom NMT to the next level by building tailor-made NMT to fit the needs of businesses seeking to scale in the Arabic-speaking world. In close collaboration with customers in the MENA region and with a deep understanding of their data, we work on building a variety of NMT models that accommodate to the unique challenges of the Arabic language. This session will provide insights into the challenges of acquiring, analyzing, and processing customer data in various sectors, as well as insights into how to best make use of this data to build high-quality Custom NMT models in English-Arabic. Feedback from usage of these models in production will be provided. Furthermore, we will show how to use our translation management system to make the most of the custom NMT, by leveraging the models, fine-tuning and continuing to improve them over time.",
}
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%0 Conference Proceedings
%T A Data-Centric Approach to Real-World Custom NMT for Arabic
%A Jonsson, Rebecca
%A Jaikat, Ruba
%A Nasir, Abdallah
%A Al-Khdour, Nour
%A Alisis, Sara
%Y Campbell, Janice
%Y Huyck, Ben
%Y Larocca, Stephen
%Y Marciano, Jay
%Y Savenkov, Konstantin
%Y Yanishevsky, Alex
%S Proceedings of Machine Translation Summit XVIII: Users and Providers Track
%D 2021
%8 August
%I Association for Machine Translation in the Americas
%C Virtual
%F jonsson-jaikat-2021-data
%X In this presentation, we will present our approach to taking Custom NMT to the next level by building tailor-made NMT to fit the needs of businesses seeking to scale in the Arabic-speaking world. In close collaboration with customers in the MENA region and with a deep understanding of their data, we work on building a variety of NMT models that accommodate to the unique challenges of the Arabic language. This session will provide insights into the challenges of acquiring, analyzing, and processing customer data in various sectors, as well as insights into how to best make use of this data to build high-quality Custom NMT models in English-Arabic. Feedback from usage of these models in production will be provided. Furthermore, we will show how to use our translation management system to make the most of the custom NMT, by leveraging the models, fine-tuning and continuing to improve them over time.
%U https://aclanthology.org/2021.mtsummit-up.24
%P 335-352
Markdown (Informal)
[A Data-Centric Approach to Real-World Custom NMT for Arabic](https://aclanthology.org/2021.mtsummit-up.24) (Jonsson et al., MTSummit 2021)
ACL
- Rebecca Jonsson, Ruba Jaikat, Abdallah Nasir, Nour Al-Khdour, and Sara Alisis. 2021. A Data-Centric Approach to Real-World Custom NMT for Arabic. In Proceedings of Machine Translation Summit XVIII: Users and Providers Track, pages 335–352, Virtual. Association for Machine Translation in the Americas.