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Found 4 papers, 1 papers with code
Translation-based Supervision for Policy Generation in Simultaneous Neural Machine Translation
In simultaneous machine translation, finding an agent with the optimal action sequence of reads and writes that maintain a high level of translation quality while minimizing the average lag in producing target tokens remains an extremely challenging problem.
Effectively pretraining a speech translation decoder with Machine Translation data
Directly translating from speech to text using an end-to-end approach is still challenging for many language pairs due to insufficient data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Prediction Improves Simultaneous Neural Machine Translation
Simultaneous speech translation aims to maintain translation quality while minimizing the delay between reading input and incrementally producing the output.
