Publications and projects according to DDC
Publications
Publications and projects according to DDC 410.285: Computational linguistics
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Cotelli Kureth, Sara; Lehr, Caroline,
2024.
In:
Perspectives didactiques pour la traduction automatique dans l’apprentissage des langues, Université de Lorraine, Nancy, France, 5 avril 2024.
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Wulf, Jochen; Meierhofer, Jürg,
2024.
Exploring the potential of large language models for automation in technical customer service [paper].
In:
Bigdeli, Ali Z.; Baines, Tim; Akkermans, Henk, eds.,
Digital Service Innovation: Redefining Provider-Customer Interactions : Proceedings of the Spring Servitization Conference.
Spring Servitization Conference, Tilburg, The Netherlands, 13-14 May 2024.
The Advanced Services Group.
pp. 146-157.
Available from: https://doi.org/10.21256/zhaw-30660
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Wulf, Jochen; Meierhofer, Jürg,
2024.
Wie LLMs die Automatisierung im Kundendienst fördern.
ServiceToday.
38(Sonderausgabe 2024), pp. 82-83.
Available from: https://bc-production.pressmatrix.com/de/profiles/3df31a994fc2/editions/2ed85b567c8dfa546626/pages/page/42
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Tuggener, Don; Niehaus, Susanna,
2024.
ERCIM News.
(136), pp. 22-23.
Available from: https://doi.org/10.21256/zhaw-29792
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Summers, Elana; Kappus, Martin; Ehrensberger-Dow, Maureen,
2023.
Collaborative possibilities of CAT tools in the revision process.
Revista Tradumàtica.
(21), pp. 300-308.
Available from: https://doi.org/10.5565/rev/tradumatica.314
Projects
Projects according to DDC 410.285: Computational linguistics
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Micromate – Learning support through digital learning assistant
Development and testing of a digital learning assistant that counteracts the dwindling information literacy. Learning processes that adapt to individual needs not only serve to impart knowledge, but also promote independent knowledge acquisition.
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SPPC: Swiss Process–Product Corpus of Student Writing Development
SPPC (Swiss Process–Product Corpus of Student Writing Development) is a novel longitudinal corpus of L1 student writing, linking automatically annotated and aggregated process data with the resulting product (text) and competence data. It will facilitate the development of teaching interventions with appropriate ...
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Machine Subtitling of Videos
We investigate if and how the quality of video subtitles generated by AI-based technology (i.e. transcription and machine translation of spoken language) can be scored automatically.
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Optical Character and Content Recognition for Intelligent M-Learning Platform
We plan to develop a novel, data-driven, student-centric “blended-learning platform”, where the advantages of m-learning platforms and human coaching are combined. In order to enable the envisioned learning platform, a matching module will be developed to match a student in need of assistance with a suitable coach, ...
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DOSSMA – Detection of Suspicious Social Media Activities
The DOSSMA project will investigate suspicious and malicious behaviour on social media platforms. In a first phase, we will compile an extensive survey report on the areas that are currently being researched, including the respective state-of-the-art, existing solutions and initiatives. This report will serve as a ...