Publications and projects according to DDC
Publications
Publications and projects according to DDC 418.02: Translating and interpreting
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Cotelli Kureth, Sara; Summers, Elana,
2023.
Language Learning in Higher Education.
13(1), pp. 213-230.
Available from: https://doi.org/10.1515/cercles-2023-2015
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van der Heide, Niklas Rijk; Saaro, Felix Matthias,
2023.
The influence of audio length on the performance of Swiss-German speech translation models.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-29666
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Albl-Mikasa, Michaela; Gieshoff, Anne Catherine,
2022.
ELF density : extending ELF research to monological texts and speeches.
In:
13th International Conference of English as a Lingua Franca, National Cheng Kung University, Tainan, Taiwan (online), 18-20 November 2022.
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Lehr, Caroline; Delorme Benites, Alice,
2022.
Core skills for new language industry profiles.
In:
Translating Europe Forum 2022, Brussels, Belgium, 9-11 November 2022.
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Cotelli Kureth, Sara; Delorme Benites, Alice; Haller, Mara; Lehr, Caroline; Noghrechi, Hasti; Steele, Elizabeth,
2022.
Développer une approche raisonnée de la traduction automatique dans les hautes écoles suisses.
In:
12e Journée de Linguistique Suisse, Lausanne, Suisse, 7 Novembre 2022.
Projects
Projects according to DDC 418.02: Translating and interpreting
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"Zoom" without "fatigue"?
Can the use of augmented reality technology decrease Zoom fatigue during video conferences? A pilot study with multilingual persons and conference interpreters investigates this question. The results are expected to offer insights for future research on video conferencing.
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Machine translation for crisis communication
This project investigates how machine translation services can help employees from administrations, NGOs and education to communicate with refugees. Providing public services to newly arrived refugees is a linguistic challenge: interprets are expensive and not available for all languages. Although machine ...
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The augmented interpreter- a pilot study on the usability of augmented reality in interpreting
Simultaneous interpreting depends on auditory and visual information. This pilot study investigates whether a seamless integration of visual and auditory information, achieved by displaying translations of technical terms on augmented reality glasses (AR), can lower cognitive load in interpreting. ...
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Machine translation for academic texts
The project consists in developing a prototype for a ZHAW neural machine translation system trained on academic texts. Freely accessible systems such as DeepL and Google Translate are not specifically trained on scientific texts and therefore often present issues regarding terminology, text cohesion, pragmatics and ...
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Machine translation literacy for academics
Objectives This project investigates the potential of neural machine translation (NMT) for academic texts (abstracts, papers...) for publication purposes. Initial situation and hypothesis Well-known issues with neural machine translation are text cohesion, (terminology) and "hedging" (hedge terms). This could, ...