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Authors: Enrico Giai 1 ; Nicola Poeta 2 and David Turnbull 3

Affiliations: 1 STAR7, S.p.A., Language Technologies Expert, Corso Orbassano 336, Torino, Italy ; 2 STAR7, S.p.A., Global Content, Service Line Leader, Corso Orbassano 336, Torino, Italy ; 3 STAR7, S.p.A., Language Lead, Corso Orbassano 336, Torino, Italy

Keyword(s): Corporate Language Management, TMS, Transit NXT, WebEdit.

Abstract: In the age of cloud computing and Software as a Service (SaaS), the need for web-based translation management solutions is on the rise. Connecting authoring tools and other Content Management Systems (CMSs) to Translation Management Systems (TMSs) is key to reaching a global audience quickly, effortlessly and efficiently. To this end, new web-based TMSs have been developed to automate the entire information lifecycle and allow cooperation among all stakeholders – from authoring to translation, review and publishing. In this paper we describe the features of a web-based TMSs, identify the contexts in which such a system is required and why, and look at their benefits. To do so, we will describe three different processes which use three different technologies based on varying automation and collaboration needs, from a server-based installation of Transit NXT to a web-based solution such as CLM WebEdit.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Giai, E.; Poeta, N. and Turnbull, D. (2022). From Server-based to Web-based Translation Memory Systems: Benchmarking, Testing and Implementation in STAR7. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS; ISBN 978-989-758-614-9; ISSN 2184-3228, SciTePress, pages 216-220. DOI: 10.5220/0011585400003335

@conference{kmis22,
author={Enrico Giai. and Nicola Poeta. and David Turnbull.},
title={From Server-based to Web-based Translation Memory Systems: Benchmarking, Testing and Implementation in STAR7},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS},
year={2022},
pages={216-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011585400003335},
isbn={978-989-758-614-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS
TI - From Server-based to Web-based Translation Memory Systems: Benchmarking, Testing and Implementation in STAR7
SN - 978-989-758-614-9
IS - 2184-3228
AU - Giai, E.
AU - Poeta, N.
AU - Turnbull, D.
PY - 2022
SP - 216
EP - 220
DO - 10.5220/0011585400003335
PB - SciTePress