Justus Brockmann, B.A. M.A.
Winter term 2024
340053 UE AI and Translation
340320 VO Machine translation
340369 UE Machine translation
Summer term 2024
340104 VO Machine translation
340234 UE Machine translation
Winter term 2023
340236 UE Translate with artificial Intelligence
340320 VO Machine translation
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Rios Gaona MA, Brockmann J, Wiesinger CK, Chereji R-M, Secara A, Ciobanu DI. Bayesian Hierarchical Modelling for Analysing the Effect of Speech Synthesis on Post-Editing Machine Translation. 2024. Paper presented at The 25th Annual Conference of the European Association for Machine Translation, Sheffield, United Kingdom.
Ciobanu DI, Chereji R-M, Brockmann J, Secara A, Peris C, Garcia-Verdugo J et al.. Report on the IAMLADP UCG Training for Translators’ Trainers seminar (13-14 March, 2024). 2024. IAMLADP UCG Train the Translator Trainers (TtT) - Workshop 2: Collaboration (with humans and technology) , Vienna , Austria.
Brockmann J, Wiesinger CK, Secara A, Ciobanu DI. Using Error Annotation to Support Post-Editing in the Context of Translator Training. In Castilho S, Caro Quintana R, Stasimioti M, Sosoni V, editors, Proceedings of the New Trends in Translation and Technology Conference - NeTTT 2022. 2023. p. 113-124
Brockmann J, Wiesinger CK, Ciobanu DI. Error Annotation in Post-Editing Machine Translation: Investigating the Impact of Text-to-Speech Technology. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. Ghent, Belgium: European Association for Machine Translation. 2022. p. 249–257
Wiesinger CK, Brockmann J, Secara A, Ciobanu DI. Speech-enabled machine translation post-editing (PEMT) in the context of translator training. In Kornacki M, Massey G, editors, Contextuality in Translation and Interpreting: Selected Papers from the Łódź-ZHAW Duo Colloquium on Translation and Meaning 2020–2021. Berlin: Peter Lang. 2022. p. 67-89. (Łódź studies in language, Vol. 70). doi: 10.3726/b19912
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Department for Translation Studies
Kolingasse 14-16
1090 Wien
Room: 05.68