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.
Cite
CITATION STYLE
España-Bonet, C., Ruiter, D., & van Genabith, J. (2019). UdS-DFKI participation at WMT 2019: Low-resource (en-gu) and coreference-aware (en-de) systems. In WMT 2019 - 4th Conference on Machine Translation, Proceedings of the Conference (Vol. 2, pp. 183–190). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w19-5315
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