Abstract
This paper describes the participation of SYSTRAN to the shared task on parallel corpus filtering at the Third Conference on Machine Translation (WMT 2018). We participate for the first time using a neural sentence similarity classifier which aims at predicting the relatedness of sentence pairs in a multilingual context. The paper describes the main characteristics of our approach and discusses the results obtained on the data sets published for the shared task.- Anthology ID:
- W18-6485
- 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:
- 934–938
- Language:
- URL:
- https://aclanthology.org/W18-6485
- DOI:
- 10.18653/v1/W18-6485
- Cite (ACL):
- MinhQuang Pham, Josep Crego, and Jean Senellart. 2018. SYSTRAN Participation to the WMT2018 Shared Task on Parallel Corpus Filtering. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 934–938, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- SYSTRAN Participation to the WMT2018 Shared Task on Parallel Corpus Filtering (Pham et al., WMT 2018)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/W18-6485.pdf