RT Journal Article
T1 Neuronale maschinelle und KI-generierte Übersetzungen: Versuch einer Kategorisierung von Stärken und Schwächen in der Sprachkombination Spanisch-Deutsch
A1 Cuartero Otal, Juan
A1 Limbach, Christiane
K1 DeepL
K1 Google Translate
K1 ChatGPT
K1 Spanish-German translation
K1 AI generated translation
AB Neural machine translation has fundamentally changed the practice of translation for more than a decade. The translation industry is now undergoing another fundamental transformation due to advances in generative artificial intelligence (GenAI) in the form of large language models (LLMs), such as ChatGPT. For professional translators, however, automatically generated translations are primarily a productivity tool. This process is known as MTPE (machine translation post-editing) and involves combining machine translations with human expertise. This article identifies and categorizes the strengths and weaknesses of automatically generated translations using a series of examples. To this end, the neural machine translation systems DeepL and Google Translate were compared with ChatGPT's GPT-4o large language model, both with the source text and with each other. The results show that the examined automatic translations offer numerous advantages and are changing the translation profession extensively. However, they are not yet capable of ensuring an accurate translation, meaning that checking or post-editing by a human translator remains necessary.
PB De Gruyter
YR 2026
FD 2026-02-16
LK https://hdl.handle.net/10433/27385
UL https://hdl.handle.net/10433/27385
LA de
NO Otal, Juan Cuartero and Limbach, Christiane. "Neuronale maschinelle und KI-generierte Übersetzungen: Versuch einer Kategorisierung von Stärken und Schwächen in der Sprachkombination Spanisch-Deutsch" Lebende Sprachen, 2026. https://doi.org/10.1515/les-2025-0055
NO Fin del embargo al texto completo: 16 Febrero 2027
NO Universidad Pablo de Olavide. Departamento de Filología y Traducción
DS RIO
RD Sep 14, 2026