We describe the two systems submitted by the DCU-Symantec team to Task 1.1. of the WMT 2013 Shared Task on Quality Estimation for Machine Translation. Task 1.1 involve estimating post-editing effort for English-Spanish translation pairs in the news domain. The two systems use a wide variety of features, of which the most effective are the word-alignment, n-gram frequency, language model, POS-tag-based and pseudo-references ones. Both systems perform at a similarly high level in the two tasks of scoring and ranking translations, although there is some evidence that the systems are over-fitting to the training data.
Metadata
Item Type:
Conference or Workshop Item (Poster)
Event Type:
Workshop
Refereed:
Yes
Uncontrolled Keywords:
Quality estimation; Ranking of machine translation output
WMT 2013: 8th Workshop on Statistical Machine Translation: Proceedings of the Workshop.
.
Association for Computational Linguistics. ISBN 978-1-937284-57-2
ACL materials are Copyright (C) 1963-2013 ACL; other materials are copyrighted by their respective copyright holders. All materials here are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License . Permission is granted to make copies for the purposes of teaching and research.
Use License:
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
Science Foundation Ireland, Irish Research Council
ID Code:
19282
Deposited On:
05 Sep 2013 11:03 by
Joachim Wagner
. Last Modified 10 Oct 2018 14:46
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