Architecture of a Scalable, Secure and Resilient Translation Platform for Multilingual News Media

Susie Coleman, Andrew Secker, Rachel Bawden, Barry Haddow, Alexandra Birch


Abstract
This paper presents an example architecture for a scalable, secure and resilient Machine Translation (MT) platform, using components available via Amazon Web Services (AWS). It is increasingly common for a single news organisation to publish and monitor news sources in multiple languages. A growth in news sources makes this increasingly challenging and time-consuming but MT can help automate some aspects of this process. Building a translation service provides a single integration point for news room tools that use translation technology allowing MT models to be integrated into a system once, rather than each time the translation technology is needed. By using a range of services provided by AWS, it is possible to architect a platform where multiple pre-existing technologies are combined to build a solution, as opposed to developing software from scratch for deployment on a single virtual machine. This increases the speed at which a platform can be developed and allows the use of well-maintained services. However, a single service also provides challenges. It is key to consider how the platform will scale when handling many users and how to ensure the platform is resilient.
Anthology ID:
2020.iwltp-1.3
Volume:
Proceedings of the 1st International Workshop on Language Technology Platforms
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
IWLTP | LREC | WS
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
16–21
URL:
https://www.aclweb.org/anthology/2020.iwltp-1.3
DOI:
Bib Export formats:
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PDF:
https://www.aclweb.org/anthology/2020.iwltp-1.3.pdf

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