@InProceedings{peter-beck-ney:2018:Demos,
  author    = {Peter, Jan-Thorsten  and  Beck, Eugen  and  Ney, Hermann},
  title     = {Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
  month     = {November},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {84--89},
  abstract  = {Training and testing many possible parameters or model architectures of state-of-the-art machine translation or automatic speech recognition system is a cumbersome task. They usually require a long pipeline of commands reaching from pre-processing the training data to post-processing and evaluating the output.},
  url       = {http://www.aclweb.org/anthology/D18-2015}
}