@inproceedings{tan-2016-faster,
    title = "Faster and Lighter Phrase-based Machine Translation Baseline",
    author = "Tan, Liling",
    editor = "Nakazawa, Toshiaki  and
      Mino, Hideya  and
      Ding, Chenchen  and
      Goto, Isao  and
      Neubig, Graham  and
      Kurohashi, Sadao  and
      Riza, Ir. Hammam  and
      Bhattacharyya, Pushpak",
    booktitle = "Proceedings of the 3rd Workshop on {A}sian Translation ({WAT}2016)",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W16-4618/",
    pages = "184--193",
    abstract = "This paper describes the SENSE machine translation system participation in the Third Workshop for Asian Translation (WAT2016). We share our best practices to build a fast and light phrase-based machine translation (PBMT) models that have comparable results to the baseline systems provided by the organizers. As Neural Machine Translation (NMT) overtakes PBMT as the state-of-the-art, deep learning and new MT practitioners might not be familiar with the PBMT paradigm and we hope that this paper will help them build a PBMT baseline system quickly and easily."
}