@inproceedings{wang-etal-2019-synchronously,
title = "Synchronously Generating Two Languages with Interactive Decoding",
author = "Wang, Yining and
Zhang, Jiajun and
Zhou, Long and
Liu, Yuchen and
Zong, Chengqing",
editor = "Inui, Kentaro and
Jiang, Jing and
Ng, Vincent and
Wan, Xiaojun",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-1330",
doi = "10.18653/v1/D19-1330",
pages = "3350--3355",
abstract = "In this paper, we introduce a novel interactive approach to translate a source language into two different languages simultaneously and interactively. Specifically, the generation of one language relies on not only previously generated outputs by itself, but also the outputs predicted in the other language. Experimental results on IWSLT and WMT datasets demonstrate that our method can obtain significant improvements over both conventional Neural Machine Translation (NMT) model and multilingual NMT model.",
}
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<abstract>In this paper, we introduce a novel interactive approach to translate a source language into two different languages simultaneously and interactively. Specifically, the generation of one language relies on not only previously generated outputs by itself, but also the outputs predicted in the other language. Experimental results on IWSLT and WMT datasets demonstrate that our method can obtain significant improvements over both conventional Neural Machine Translation (NMT) model and multilingual NMT model.</abstract>
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%0 Conference Proceedings
%T Synchronously Generating Two Languages with Interactive Decoding
%A Wang, Yining
%A Zhang, Jiajun
%A Zhou, Long
%A Liu, Yuchen
%A Zong, Chengqing
%Y Inui, Kentaro
%Y Jiang, Jing
%Y Ng, Vincent
%Y Wan, Xiaojun
%S Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F wang-etal-2019-synchronously
%X In this paper, we introduce a novel interactive approach to translate a source language into two different languages simultaneously and interactively. Specifically, the generation of one language relies on not only previously generated outputs by itself, but also the outputs predicted in the other language. Experimental results on IWSLT and WMT datasets demonstrate that our method can obtain significant improvements over both conventional Neural Machine Translation (NMT) model and multilingual NMT model.
%R 10.18653/v1/D19-1330
%U https://aclanthology.org/D19-1330
%U https://doi.org/10.18653/v1/D19-1330
%P 3350-3355
Markdown (Informal)
[Synchronously Generating Two Languages with Interactive Decoding](https://aclanthology.org/D19-1330) (Wang et al., EMNLP-IJCNLP 2019)
ACL
- Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu, and Chengqing Zong. 2019. Synchronously Generating Two Languages with Interactive Decoding. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 3350–3355, Hong Kong, China. Association for Computational Linguistics.