  We present our work on collecting ArzEn-ST, a code-switched Egyptian Arabic -
English Speech Translation Corpus. This corpus is an extension of the ArzEn
speech corpus, which was collected through informal interviews with bilingual
speakers. In this work, we collect translations in both directions, monolingual
Egyptian Arabic and monolingual English, forming a three-way speech translation
corpus. We make the translation guidelines and corpus publicly available. We
also report results for baseline systems for machine translation and speech
translation tasks. We believe this is a valuable resource that can motivate and
facilitate further research studying the code-switching phenomenon from a
linguistic perspective and can be used to train and evaluate NLP systems.
