Using ChatGPT as a CAT tool in Easy Language translation

Autor: Deilen, Silvana, Garrido, Sergio Hernández, Lapshinova-Koltunski, Ekaterina, Maaß, Christiane
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: This study sets out to investigate the feasibility of using ChatGPT to translate citizen-oriented administrative texts into German Easy Language, a simplified, controlled language variety that is adapted to the needs of people with reading impairments. We use ChatGPT to translate selected texts from websites of German public authorities using two strategies, i.e. linguistic and holistic. We analyse the quality of the generated texts based on different criteria, such as correctness, readability, and syntactic complexity. The results indicated that the generated texts are easier than the standard texts, but that they still do not fully meet the established Easy Language standards. Additionally, the content is not always rendered correctly.
Databáze: arXiv