Simple and Efficient Model Filtering in Statistical Machine Translation

@inproceedings{Hinrichs2012SimpleAE,
  title={Simple and Efficient Model Filtering in Statistical Machine Translation},
  author={Erhard W. Hinrichs and Aravind K. Joshi and Philipp Koehn and Patrice Pognan},
  year={2012}
}
Data availability and distributed computing techniques have allowed statistical machine translation (SMT) researchers to build larger models. However, decoders need to be able to retrieve information efficiently from these models to be able to translate an input sentence or a set of input sentences. We introduce an easy to implement and general purpose solution to tackle this problem: we store SMT models as a set of key-value pairs in an HFile. We apply this strategy to two specific tasks: test… CONTINUE READING

Similar Papers

Loading similar papers…