Integrating Generative AI into Translator Training
Challenges and Opportunities
Bibliographic Data
| ID | 21550686 |
|---|---|
| Authors | Michał Kornacki (0000-0002-0694-004X, University of Lodz, corresponding author) |
| Year | 2025 |
| Volume | 2025 |
| Issue | 2 |
| Pages | 43-56 |
| Publication date | 2025-12-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | AUC PHILOLOGICA (JOURNAL) |
| Journal identifiers | ISSN: 0567-8269 • E-ISSN: 2464-6830 |
| Publisher | Charles University in Prague, Karolinum Press (PUBLISHER) |
| DOI | 10.14712/24646830.2025.12 |
| OpenAlex | W4417118274 |
| Language | EN |
| References cited | 42 |
Integrating GenAI into translator training offers significant potential but also presents substantial difficulties. As AI-driven translation systems become increasingly sophisticated, future translators must develop a nuanced understanding of how these technologies function and how to integrate them into their workflow. This paper investigates how GenAI can enhance translator training by improving workflow efficiency and helping students develop skills needed for the modern industry, while also addressing concerns about overreliance, ethics, and job security. It argues that digital resilience and a balanced skill set are essential for translators to thrive in an AI-enhanced professional landscape
Generative grammar · Workflow · E-Learning and COVID-19 · Natural Language Processing Techniques · Translation Studies and Practices
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The development of competence in favorable and unfavorable environments
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| Citation velocity | historical |
|---|---|
| Highly cited | No |