Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering
Philipp Koehn, Huda Khayrallah, Kenneth Heafield, Mikel L. Forcada
Abstract
We posed the shared task of assigning sentence-level quality scores for a very noisy corpus of sentence pairs crawled from the web, with the goal of sub-selecting 1% and 10% of high-quality data to be used to train machine translation systems. Seventeen participants from companies, national research labs, and universities participated in this task.- Anthology ID:
- W18-6453
- Volume:
- Proceedings of the Third Conference on Machine Translation: Shared Task Papers
- Month:
- October
- Year:
- 2018
- Address:
- Belgium, Brussels
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 726–739
- Language:
- URL:
- https://aclanthology.org/W18-6453
- DOI:
- 10.18653/v1/W18-6453
- Cite (ACL):
- Philipp Koehn, Huda Khayrallah, Kenneth Heafield, and Mikel L. Forcada. 2018. Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 726–739, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering (Koehn et al., WMT 2018)
- PDF:
- https://preview.aclanthology.org/naacl24-info/W18-6453.pdf