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        <title>Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder</title>
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    <abstract>Most neural machine translation (NMT) models are based on the sequential encoder-decoder framework, which makes no use of syntactic information. In this paper, we improve this model by explicitly incorporating source-side syntactic trees. More specifically, we propose (1) a bidirectional tree encoder which learns both sequential and tree structured representations; (2) a tree-coverage model that lets the attention depend on the source-side syntax. Experiments on Chinese-English translation demonstrate that our proposed models outperform the sequential attentional model as well as a stronger baseline with a bottom-up tree encoder and word coverage.</abstract>
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%0 Conference Proceedings
%T Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder
%A Chen, Huadong
%A Huang, Shujian
%A Chiang, David
%A Chen, Jiajun
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F chen-etal-2017-improved
%X Most neural machine translation (NMT) models are based on the sequential encoder-decoder framework, which makes no use of syntactic information. In this paper, we improve this model by explicitly incorporating source-side syntactic trees. More specifically, we propose (1) a bidirectional tree encoder which learns both sequential and tree structured representations; (2) a tree-coverage model that lets the attention depend on the source-side syntax. Experiments on Chinese-English translation demonstrate that our proposed models outperform the sequential attentional model as well as a stronger baseline with a bottom-up tree encoder and word coverage.
%R 10.18653/v1/P17-1177
%U https://aclanthology.org/P17-1177
%U https://doi.org/10.18653/v1/P17-1177
%P 1936-1945

Markdown (Informal)

[Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder](https://aclanthology.org/P17-1177) (Chen et al., ACL 2017)

• Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder (Chen et al., ACL 2017)

ACL

• Huadong Chen, Shujian Huang, David Chiang, and Jiajun Chen. 2017. Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1936–1945, Vancouver, Canada. Association for Computational Linguistics.