@inproceedings{wang-etal-2018-cytonmt,
    title = "{C}yton{MT}: an Efficient Neural Machine Translation Open-source Toolkit Implemented in {C}++",
    author = "Wang, Xiaolin  and
      Utiyama, Masao  and
      Sumita, Eiichiro",
    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/jlcl-multiple-ingestion/D18-2023/",
    doi = "10.18653/v1/D18-2023",
    pages = "133--138",
    abstract = "This paper presents an open-source neural machine translation toolkit named CytonMT. The toolkit is built from scratch only using C++ and NVIDIA`s GPU-accelerated libraries. The toolkit features training efficiency, code simplicity and translation quality. Benchmarks show that cytonMT accelerates the training speed by 64.5{\%} to 110.8{\%} on neural networks of various sizes, and achieves competitive translation quality."
}