NICT’s Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task
Benjamin Marie, Rui Wang, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita · 2018
This paper presents the NICT's participation to the WMT18 shared news translation task.We participated in the eight translation directions of four language pairs: Estonian-English, Finnish-English, Turkish-English and Chinese-English.For each translation direction, we prepared state-of-the-art statistical (SMT) and neural (NMT) machine translation systems.Our NMT systems were trained with the transformer architecture using the provided parallel data enlarged with a large quantity of back-translated monolingual data that we generated with a new incremental training framework.Our primary submissions to the task are the result of a simple combination of our SMT and NMT systems.Our systems are ranked first for the Estonian-English and Finnish-English language pairs (constraint) according to BLEU-cased.