Improved Neural Machine Translation using Side Information

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Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn

Published: 2018, Last Modified: 03 Mar 2026ALTA 2018EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: In this work, we investigate whether side information is helpful in neural machine translation (NMT). We study various kinds of side information, including topical information, personal trait, then propose different ways of incorporating them into the existing NMT models. Our experimental results show the benefits of side information in improving the NMT models.