This paper was accepted at the EMNLP Workshop on Computational Approaches to Linguistic Code-Switching (CALCS).
Code-switching (CS), i.e. mixing different languages in a single sentence, is a common phenomenon in communication and can be challenging in many Natural Language Processing (NLP) settings. Previous studies on CS speech have shown promising results for end-to-end speech translation (ST), but have been limited to offline scenarios and to translation to one of the languages present in the source (monolingual transcription).
In this paper, we focus on two essential yet unexplored areas…
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Towards Real-World Streaming Speech Translation for Code-Switched Speech
