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Open AccessFeature PaperArticle

Improving the Translation Environment for Professional Translators

1
Centre for Computational Linguistics, KU Leuven, B-3000 Leuven, Belgium
2
Department of Electrical Engineering, KU Leuven, B-3001 Leuven, Belgium
3
Department of Computer Science, KU Leuven, B-3001 Leuven, Belgium
4
Department of Linguistics @ Antwerp, KU Leuven, B-2000 Antwerp, Belgium
5
Language and Translation Technology Team (LT3), Ghent University, B-9000 Ghent, Belgium
6
Expertise Centre for Digital Media, Flanders Make–tUL–UHasselt, B-3590 Diepenbeek, Belgium
*
Author to whom correspondence should be addressed.
Current address: Instituut voor de Nederlandse Taal, 2311 GJ Leiden, The Netherlands.
Current address: CrossLang, B-9050 Gentbrugge, Belgium.
§
Current address: Apple Inc., Cupertino, CA 95014, USA.
Current address: Apple Inc., 52062-52080 Aachen, Germany.
Current address: Nokia Bell Labs, B-2018 Antwerp, Belgium.
Informatics 2019, 6(2), 24; https://doi.org/10.3390/informatics6020024
Received: 23 April 2019 / Revised: 20 May 2019 / Accepted: 13 June 2019 / Published: 20 June 2019
(This article belongs to the Special Issue Advances in Computer-Aided Translation Technology)
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Abstract

When using computer-aided translation systems in a typical, professional translation workflow, there are several stages at which there is room for improvement. The SCATE (Smart Computer-Aided Translation Environment) project investigated several of these aspects, both from a human-computer interaction point of view, as well as from a purely technological side. This paper describes the SCATE research with respect to improved fuzzy matching, parallel treebanks, the integration of translation memories with machine translation, quality estimation, terminology extraction from comparable texts, the use of speech recognition in the translation process, and human computer interaction and interface design for the professional translation environment. For each of these topics, we describe the experiments we performed and the conclusions drawn, providing an overview of the highlights of the entire SCATE project. View Full-Text
Keywords: computer-aided translation; machine translation; speech translation; translation memory-machine translation integration; user interface; domain-adaptation; human-computer interface computer-aided translation; machine translation; speech translation; translation memory-machine translation integration; user interface; domain-adaptation; human-computer interface
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Vandeghinste, V.; Vanallemeersch, T.; Augustinus, L.; Bulté, B.; Van Eynde, F.; Pelemans, J.; Verwimp, L.; Wambacq, P.; Heyman, G.; Moens, M.-F.; van der Lek-Ciudin, I.; Steurs, F.; Rigouts Terryn, A.; Lefever, E.; Tezcan, A.; Macken, L.; Hoste, V.; Daems, J.; Buysschaert, J.; Coppers, S.; Van den Bergh, J.; Luyten, K. Improving the Translation Environment for Professional Translators. Informatics 2019, 6, 24.

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