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Old Age
CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks
June 23, 2016 ยท Declared Dead ยท ๐ Conference on Machine Translation
"No code URL or promise found in abstract"
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Authors
Jindลich Libovickรฝ, Jindลich Helcl, Marek Tlustรฝ, Pavel Pecina, Ondลej Bojar
arXiv ID
1606.07481
Category
cs.CL: Computation & Language
Citations
68
Venue
Conference on Machine Translation
Last Checked
3 months ago
Abstract
Neural sequence to sequence learning recently became a very promising paradigm in machine translation, achieving competitive results with statistical phrase-based systems. In this system description paper, we attempt to utilize several recently published methods used for neural sequential learning in order to build systems for WMT 2016 shared tasks of Automatic Post-Editing and Multimodal Machine Translation.
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