Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation
Abstract
We describe the neural machine translation (NMT) system developed at the National Research Council of Canada (NRC) for the Kazakh-English news translation task of the Fourth Conference on Machine Translation (WMT19). Our submission is a multi-source NMT taking both the original Kazakh sentence and its Russian translation as input for translating into English.
Type
Publication
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)