  This paper describes the systems submitted to IWSLT 2021 by the Volctrans
team. We participate in the offline speech translation and text-to-text
simultaneous translation tracks. For offline speech translation, our best
end-to-end model achieves 8.1 BLEU improvements over the benchmark on the
MuST-C test set and is even approaching the results of a strong cascade
solution. For text-to-text simultaneous translation, we explore the best
practice to optimize the wait-k model. As a result, our final submitted systems
exceed the benchmark at around 7 BLEU on the same latency regime. We will
publish our code and model to facilitate both future research works and
industrial applications.
  This paper describes the systems submitted to IWSLT 2021 by the Volctrans
team. We participate in the offline speech translation and text-to-text
simultaneous translation tracks. For offline speech translation, our best
end-to-end model achieves 7.9 BLEU improvements over the benchmark on the
MuST-C test set and is even approaching the results of a strong cascade
solution. For text-to-text simultaneous translation, we explore the best
practice to optimize the wait-k model. As a result, our final submitted systems
exceed the benchmark at around 7 BLEU on the same latency regime. We release
our code and model at
\url{https://github.com/bytedance/neurst/tree/master/examples/iwslt21} to
facilitate both future research works and industrial applications.
