UdS-DFKI Participation at WMT 2019: Low-Resource (en-gu) and Coreference-Aware (en-de) Systems

Cristina España-Bonet, Dana Ruiter


Abstract
This paper describes the UdS-DFKI submission to the WMT2019 news translation task for Gujarati–English (low-resourced pair) and German–English (document-level evaluation). Our systems rely on the on-line extraction of parallel sentences from comparable corpora for the first scenario and on the inclusion of coreference-related information in the training data in the second one.
Anthology ID:
W19-5315
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Month:
August
Year:
2019
Address:
Florence, Italy
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
183–190
Language:
URL:
https://aclanthology.org/W19-5315
DOI:
10.18653/v1/W19-5315
Bibkey:
Cite (ACL):
Cristina España-Bonet and Dana Ruiter. 2019. UdS-DFKI Participation at WMT 2019: Low-Resource (en-gu) and Coreference-Aware (en-de) Systems. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 183–190, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
UdS-DFKI Participation at WMT 2019: Low-Resource (en-gu) and Coreference-Aware (en-de) Systems (España-Bonet & Ruiter, WMT 2019)
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PDF:
https://aclanthology.org/W19-5315.pdf