The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task

Raúl Vázquez, Umut Sulubacak, Jörg Tiedemann


Abstract
This paper describes the University of Helsinki Language Technology group’s participation in the WMT 2019 parallel corpus filtering task. Our scores were produced using a two-step strategy. First, we individually applied a series of filters to remove the ‘bad’ quality sentences. Then, we produced scores for each sentence by weighting these features with a classification model. This methodology allowed us to build a simple and reliable system that is easily adaptable to other language pairs.
Anthology ID:
W19-5441
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
Month:
August
Year:
2019
Address:
Florence, Italy
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
294–300
Language:
URL:
https://aclanthology.org/W19-5441
DOI:
10.18653/v1/W19-5441
Bibkey:
Cite (ACL):
Raúl Vázquez, Umut Sulubacak, and Jörg Tiedemann. 2019. The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task. In Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), pages 294–300, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task (Vázquez et al., WMT 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-5441.pdf