Jean Nitzke

• Hansen-Schirra, Silvia; Nitzke, Jean; Canfora, Carmen & Kapnas, Dimitrios (2024). Eine Interviewstudie zu Postediting-Prozessen und ihre Implikationen für die Zukunft einer Branche. I Rösener, Christoph; Canfora, Carmen; Dörflinger, Torsten; Hoberg, Felix & Varga, Simon (Red.), Übersetzen im Wandel - Wie Technologisierung, Automatisierung und Künstliche Intelligenz das Übersetzen verändern. Springer. ISSN 978-3-658-42902-7. s. 97–110.
• Nitzke, Jean; Canfora, Carmen; Hansen-Schirra, Silvia & Kapnas, Dimitrios (2024). Decisions in projects using machine translation and post-editing: an interview study. Journal of Specialised Translation. ISSN 1740-357X. 41, s. 127–148. doi: 10.26034/cm.jostrans.2024.4715. Vis sammendrag

  Machine translation (MT) and post-editing (PE) have become increasingly important in the professional language industry in recent years. However, not every translation job is suitable for MT and there are many options for carrying out translation/post-editing projects, e.g. no PE, light PE, full PE, full PE plus revision or translation without MT assistance. In 2019, we published a decision tree for post-editing projects (Nitzke et al. 2019) that aimed to take all considerations into account and guide the stakeholders in charge of deciding whether a job is suitable for MT and PE and, if so, what kind of quality assurance might lead to fit-for-purpose translations. To empirically test our decision tree model now, we developed a semi-structured interview with 21 questions and a scoring task addressing stakeholders who work with MT projects and have to make the decisions which are essential to our model. The interview was carried out with 19 interview partners. In the article, we discuss the interviews’ findings against the background of our model. Further, we present qualitative findings on strategic decisions, risk considerations, as well as the value of translation, working conditions and job profiles. Finally, we present our revised model motivated by the empirical findings.

• Nitzke, Jean (2022). Auf dem Weg zum Babelfisch? Zum Stand der maschinellen Übersetzung. I Bergmann, Anke; Mayer, Christoph & Plikat, Jochen (Red.), Perspektiven der Schulfremdsprachen im Zeitalter von «Global English» und Digitalisierung. Peter Lang Publishing Group. ISSN 3631846304. s. 71–86.
• Nitzke, Jean; Hansen-Schirra, Silvia; Habig, Ann-Kathrin & Gutermuth, Silke (2022). Translating subtitles into Easy Language: First considerations and empirical investigations. I Castillo Bernal, María Pilar & Estévez Grossi, Marta (Red.), Translation, Mediation and Accessibility for Linguistic Minorities. Frank & Timme. ISSN 9783732990641. s. 127–143.
• Nitzke, Jean (2021). The processing of website contents in native and non-native language. I Group, Tra&Co (Red.), Translation, interpreting, cognition - The way out of the box. Language Science Press. ISSN 978-3-98554-000-6. s. 105–113.
• Hansen-Schirra, Silvia; Nitzke, Jean & Gutermuth, Silke (2021). An Intralingual Parallel Corpus of Translations into German Easy Language (Geasy Corpus): What Sentence Alignments Can Tell Us About Translation Strategies in Intralingual Translation. I Wang, Vincent X.; Lim, Lily & Defeng, Li (Red.), New Perspectives on Corpus Translation Studies. Springer. ISSN 978-981-16-4917-2. s. 281–298.

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• Nitzke, Jean & Hansen-Schirra, Silvia (2021). A short guide to post-editing. Language Science Press. ISBN 978-3-98554-029-7. 94 s.

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• Nitzke, Jean (2024). Using AI in teaching translation for migrant and minority languages.
• Nitzke, Jean & Halverson, Sandra Louise (2023). KI – gamle og nye spørsmål. Klassekampen. ISSN 0805-3839.
• Nitzke, Jean (2023). Post-Editing Webinar (2 dager).
• Nitzke, Jean & Halverson, Sandra Louise (2023). Simulating realistic translation workflows in translator education: The challenges of hybrid teaching and multilingual courses.
• Nitzke, Jean; Kunte, Nikola; Koponen, Maarit; Krause, Alexandra; Vlačiha, Matej & Varga, Tibor [Vis alle 10 forfattere av denne artikkelen] (2023). Panel discussion: 21st century competencies in translation: training and practices in the industry.
• Nitzke, Jean (2023). Risks and decisions in the post-editing process.
• Nitzke, Jean (2022). Maschinelle Übersetzung – Fluch, Segen und Alltag für die Translation.
• Nitzke, Jean; Canfora, Carmen & Hansen-Schirra, Silvia (2022). Decisions in post-editing projects: Using semi-structured interviews with stakeholders from the language industry to update a decision tree model for post-editing tasks.
• Nitzke, Jean; Canfora, Carmen; Dobozy, Hannah; Kapnas, Dimitrios & Hansen-Schirra, Silvia (2022). Revisiting the decision tree model for post-editing tasks: What can the language industry teach us?
• Nitzke, Jean; Hansen-Schirra, Silvia & Canfora, Carmen (2022). Using semi-structured interviews to revisiting the decision tree model for post-editing tasks: What can the language industry teach us?
• Nitzke, Jean & Tardel, Anke (2022). Post-Editing NMT – Strategies and Job Profiles.
• Nitzke, Jean (2021). Job profiles and required competences in the age of post-editing.
• Nitzke, Jean (2021). Post-Editing.
• Nitzke, Jean (2021). Technologies for the Translation of Specialised Texts into Easy Language.
• Nitzke, Jean; Hansen-Schirra, Silvia; Kraft, Tobias & Päßler, Ulrich (2021). XML, non-Standard Language, code-switching in Humboldt’s papers and travel journals – taking post-editing research to the next level.
• Nitzke, Jean; Hansen-Schirra, Silvia & Gutermuth, Silke (2021). Preparing parallel corpora for intralingual machine translation.
• Nitzke, Jean (2021). Maschinelle Übersetzung und Post-Editing.

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