Publikation
Faster and lighter phrase-based machine translation baseline
Li Ling Tan; Jon Dehdari; Josef van Genabith
In: The Third Workshop on Asian Translation (WAT2016). Workshop on Asian Translation (WAT-2016), December 12, Osaka, Japan, Pages 184-193, ISBN 978-4-87974-714-3, Association for Computational Linguistics, 12/2016.
Zusammenfassung
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.