@inproceedings{peter-etal-2018-sisyphus,
    title = "Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition",
    author = "Peter, Jan-Thorsten  and
      Beck, Eugen  and
      Ney, Hermann",
    editor = "Blanco, Eduardo  and
      Lu, Wei",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/D18-2015/",
    doi = "10.18653/v1/D18-2015",
    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."
}