%0 Conference Proceedings %T Faster and Lighter Phrase-based Machine Translation Baseline %A Tan, Liling %Y Nakazawa, Toshiaki %Y Mino, Hideya %Y Ding, Chenchen %Y Goto, Isao %Y Neubig, Graham %Y Kurohashi, Sadao %Y Riza, Ir. Hammam %Y Bhattacharyya, Pushpak %S Proceedings of the 3rd Workshop on Asian Translation (WAT2016) %D 2016 %8 December %I The COLING 2016 Organizing Committee %C Osaka, Japan %F tan-2016-faster %X 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. %U https://aclanthology.org/W16-4618 %P 184-193