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
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W19-5315.pdf