In Switzerland, two thirds of the population speak Swiss German, a primarily spoken language with no standardised written form. It is widely used on Swiss TV, for example in news reports, interviews and talk shows, and captions are required for people who do not understand this spoken language. This paper focuses on the second part of a cascade approach for the automatic Standard German captioning of spoken Swiss German. We apply a multilingual pre-trained model to translate automatic speech recognition of Swiss German into Standard German suitable for captioning. Results of several evaluations, both human and automatic, show that the system succeeds in improving the content, but is currently not capable of producing entirely correct Standard German.