Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task
Víctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, Gema Ramírez
Abstract
This paper describes Prompsit Language Engineering’s submissions to the WMT 2018 parallel corpus filtering shared task. Our four submissions were based on an automatic classifier for identifying pairs of sentences that are mutual translations. A set of hand-crafted hard rules for discarding sentences with evident flaws were applied before the classifier. We explored different strategies for achieving a training corpus with diverse vocabulary and fluent sentences: language model scoring, an active-learning-inspired data selection algorithm and n-gram saturation. Our submissions were very competitive in comparison with other participants on the 100 million word training corpus.- Anthology ID:
- W18-6488
- 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:
- 955–962
- Language:
- URL:
- https://aclanthology.org/W18-6488
- DOI:
- 10.18653/v1/W18-6488
- Bibkey:
- Cite (ACL):
- Víctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, and Gema Ramírez. 2018. Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 955–962, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task (Sánchez-Cartagena et al., WMT 2018)
- Copy Citation:
- PDF:
- https://aclanthology.org/W18-6488.pdf
- Code
- bitextor/bicleaner
Export citation
@inproceedings{sanchez-cartagena-etal-2018-prompsits, title = "Prompsit{'}s submission to {WMT} 2018 Parallel Corpus Filtering shared task", author = "S{\'a}nchez-Cartagena, V{\'\i}ctor M. and Ba{\~n}{\'o}n, Marta and Ortiz-Rojas, Sergio and Ram{\'\i}rez, Gema", editor = "Bojar, Ond{\v{r}}ej and Chatterjee, Rajen and Federmann, Christian and Fishel, Mark and Graham, Yvette and Haddow, Barry and Huck, Matthias and Yepes, Antonio Jimeno and Koehn, Philipp and Monz, Christof and Negri, Matteo and N{\'e}v{\'e}ol, Aur{\'e}lie and Neves, Mariana and Post, Matt and Specia, Lucia and Turchi, Marco and Verspoor, Karin", booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers", month = oct, year = "2018", address = "Belgium, Brussels", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/W18-6488", doi = "10.18653/v1/W18-6488", pages = "955--962", abstract = "This paper describes Prompsit Language Engineering{'}s submissions to the WMT 2018 parallel corpus filtering shared task. Our four submissions were based on an automatic classifier for identifying pairs of sentences that are mutual translations. A set of hand-crafted hard rules for discarding sentences with evident flaws were applied before the classifier. We explored different strategies for achieving a training corpus with diverse vocabulary and fluent sentences: language model scoring, an active-learning-inspired data selection algorithm and n-gram saturation. Our submissions were very competitive in comparison with other participants on the 100 million word training corpus.", }
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%0 Conference Proceedings %T Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task %A Sánchez-Cartagena, Víctor M. %A Bañón, Marta %A Ortiz-Rojas, Sergio %A Ramírez, Gema %Y Bojar, Ondřej %Y Chatterjee, Rajen %Y Federmann, Christian %Y Fishel, Mark %Y Graham, Yvette %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Monz, Christof %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Post, Matt %Y Specia, Lucia %Y Turchi, Marco %Y Verspoor, Karin %S Proceedings of the Third Conference on Machine Translation: Shared Task Papers %D 2018 %8 October %I Association for Computational Linguistics %C Belgium, Brussels %F sanchez-cartagena-etal-2018-prompsits %X This paper describes Prompsit Language Engineering’s submissions to the WMT 2018 parallel corpus filtering shared task. Our four submissions were based on an automatic classifier for identifying pairs of sentences that are mutual translations. A set of hand-crafted hard rules for discarding sentences with evident flaws were applied before the classifier. We explored different strategies for achieving a training corpus with diverse vocabulary and fluent sentences: language model scoring, an active-learning-inspired data selection algorithm and n-gram saturation. Our submissions were very competitive in comparison with other participants on the 100 million word training corpus. %R 10.18653/v1/W18-6488 %U https://aclanthology.org/W18-6488 %U https://doi.org/10.18653/v1/W18-6488 %P 955-962
Markdown (Informal)
[Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task](https://aclanthology.org/W18-6488) (Sánchez-Cartagena et al., WMT 2018)
- Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task (Sánchez-Cartagena et al., WMT 2018)
ACL
- Víctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, and Gema Ramírez. 2018. Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 955–962, Belgium, Brussels. Association for Computational Linguistics.