Statistical Machine Translation for Speech: A Perspective on Structures, Learning, and Decoding

@article{Zhou2013StatisticalMT,
  title={Statistical Machine Translation for Speech: A Perspective on Structures, Learning, and Decoding},
  author={Bowen Zhou},
  journal={Proceedings of the IEEE},
  year={2013},
  volume={101},
  pages={1180-1202}
}
In this paper, we survey and analyze state-of-the-art statistical machine translation (SMT) techniques for speech translation (ST). We review key learning problems, and investigate essential model structures in SMT, taking a unified perspective to reveal both connections and contrasts between automatic speech recognition (ASR) and SMT. We show that phrase… CONTINUE READING