@inproceedings{stahlberg-etal-2018-university,
title = "The {U}niversity of {C}ambridge{'}s Machine Translation Systems for {WMT}18",
author = "Stahlberg, Felix and
de Gispert, Adri{\`a} and
Byrne, Bill",
booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
month = oct,
year = "2018",
address = "Belgium, Brussels",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6427",
doi = "10.18653/v1/W18-6427",
pages = "504--512",
abstract = "The University of Cambridge submission to the WMT18 news translation task focuses on the combination of diverse models of translation. We compare recurrent, convolutional, and self-attention-based neural models on German-English, English-German, and Chinese-English. Our final system combines all neural models together with a phrase-based SMT system in an MBR-based scheme. We report small but consistent gains on top of strong Transformer ensembles.",
}
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%0 Conference Proceedings
%T The University of Cambridge’s Machine Translation Systems for WMT18
%A Stahlberg, Felix
%A de Gispert, Adrià
%A Byrne, Bill
%S Proceedings of the Third Conference on Machine Translation: Shared Task Papers
%D 2018
%8 oct
%I Association for Computational Linguistics
%C Belgium, Brussels
%F stahlberg-etal-2018-university
%X The University of Cambridge submission to the WMT18 news translation task focuses on the combination of diverse models of translation. We compare recurrent, convolutional, and self-attention-based neural models on German-English, English-German, and Chinese-English. Our final system combines all neural models together with a phrase-based SMT system in an MBR-based scheme. We report small but consistent gains on top of strong Transformer ensembles.
%R 10.18653/v1/W18-6427
%U https://aclanthology.org/W18-6427
%U https://doi.org/10.18653/v1/W18-6427
%P 504-512
Markdown (Informal)
[The University of Cambridge’s Machine Translation Systems for WMT18](https://aclanthology.org/W18-6427) (Stahlberg et al., 2018)
ACL