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%0 Conference Proceedings
%T Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models
%A Luong, Minh-Thang
%A Manning, Christopher D.
%Y Erk, Katrin
%Y Smith, Noah A.
%S Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2016
%8 August
%I Association for Computational Linguistics
%C Berlin, Germany
%F luong-manning-2016-achieving
%R 10.18653/v1/P16-1100
%U https://aclanthology.org/P16-1100
%U https://doi.org/10.18653/v1/P16-1100
%P 1054-1063

Markdown (Informal)

[Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models](https://aclanthology.org/P16-1100) (Luong & Manning, ACL 2016)

• Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models (Luong & Manning, ACL 2016)

ACL

• Minh-Thang Luong and Christopher D. Manning. 2016. Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1054–1063, Berlin, Germany. Association for Computational Linguistics.