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    <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.</abstract>
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%0 Conference Proceedings
%T Improved Neural Machine Translation using Side Information
%A Hoang, Cong Duy Vu
%A Haffari, Gholamreza
%A Cohn, Trevor
%S Proceedings of the Australasian Language Technology Association Workshop 2018
%D 2018
%8 dec
%C Dunedin, New Zealand
%F hoang-etal-2018-improved
%X 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.
%U https://aclanthology.org/U18-1001
%P 6-16

Markdown (Informal)

[Improved Neural Machine Translation using Side Information](https://aclanthology.org/U18-1001) (Hoang et al., ALTA 2018)

• Improved Neural Machine Translation using Side Information (Hoang et al., ALTA 2018)

ACL

• Cong Duy Vu Hoang, Gholamreza Haffari, and Trevor Cohn. 2018. Improved Neural Machine Translation using Side Information. In Proceedings of the Australasian Language Technology Association Workshop 2018, pages 6–16, Dunedin, New Zealand.