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The University of Cambridge's Machine Translation Systems for WMT18
August 28, 2018 ยท Declared Dead ยท ๐ Conference on Machine Translation
"No code URL or promise found in abstract"
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Authors
Felix Stahlberg, Adria de Gispert, Bill Byrne
arXiv ID
1808.09465
Category
cs.CL: Computation & Language
Citations
20
Venue
Conference on Machine Translation
Last Checked
4 months ago
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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