@inproceedings{coleman-etal-2020-architecture,
title = "Architecture of a Scalable, Secure and Resilient Translation Platform for Multilingual News Media",
author = "Coleman, Susie and
Secker, Andrew and
Bawden, Rachel and
Haddow, Barry and
Birch, Alexandra",
editor = "Rehm, Georg and
Bontcheva, Kalina and
Choukri, Khalid and
Haji{\v{c}}, Jan and
Piperidis, Stelios and
Vasi{\c{l}}jevs, Andrejs",
booktitle = "Proceedings of the 1st International Workshop on Language Technology Platforms",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.iwltp-1.3",
pages = "16--21",
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.",
language = "English",
ISBN = "979-10-95546-64-1",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Architecture of a Scalable, Secure and Resilient Translation Platform for Multilingual News Media
%A Coleman, Susie
%A Secker, Andrew
%A Bawden, Rachel
%A Haddow, Barry
%A Birch, Alexandra
%Y Rehm, Georg
%Y Bontcheva, Kalina
%Y Choukri, Khalid
%Y Hajič, Jan
%Y Piperidis, Stelios
%Y Vasiļjevs, Andrejs
%S Proceedings of the 1st International Workshop on Language Technology Platforms
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-64-1
%G English
%F coleman-etal-2020-architecture
%X 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.
%U https://aclanthology.org/2020.iwltp-1.3
%P 16-21
Markdown (Informal)
[Architecture of a Scalable, Secure and Resilient Translation Platform for Multilingual News Media](https://aclanthology.org/2020.iwltp-1.3) (Coleman et al., IWLTP 2020)
ACL