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Through the use of deep learning technologies, the quality of machine translation of text and speech has improved significantly in recent years. In this internship, the students develop a language translation system for a new language pair using state-of-the-art methods.
In the first part of the internship, the students are introduced step-by-step to the development of a translation system and its evaluation. For this, the different subtasks have to be solved. In the second part of the internship, the students should investigate different improvements of the system independently.