Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions

Philipp Koehn; Francisco Guzmán; Vishrav Chaudhary; Juan Pino

doi:10.18653/v1/W19-5404

Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions

Philipp Koehn, Francisco Guzmán, Vishrav Chaudhary, Juan Pino

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Abstract

Following the WMT 2018 Shared Task on Parallel Corpus Filtering, we posed the challenge of assigning sentence-level quality scores for very noisy corpora of sentence pairs crawled from the web, with the goal of sub-selecting 2% and 10% of the highest-quality data to be used to train machine translation systems. This year, the task tackled the low resource condition of Nepali-English and Sinhala-English. Eleven participants from companies, national research labs, and universities participated in this task.

Anthology ID:: W19-5404
Volume:: Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
Month:: August
Year:: 2019
Address:: Florence, Italy
Editors:: Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Marco Turchi, Karin Verspoor
Venue:: WMT
SIG:: SIGMT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 54–72
Language:
URL:: https://aclanthology.org/W19-5404/
DOI:: 10.18653/v1/W19-5404
Bibkey:
Cite (ACL):: Philipp Koehn, Francisco Guzmán, Vishrav Chaudhary, and Juan Pino. 2019. Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions. In Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), pages 54–72, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):: Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions (Koehn et al., WMT 2019)
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PDF:: https://aclanthology.org/W19-5404.pdf

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@inproceedings{koehn-etal-2019-findings,
    title = "Findings of the {WMT} 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions",
    author = "Koehn, Philipp  and
      Guzm{\'a}n, Francisco  and
      Chaudhary, Vishrav  and
      Pino, Juan",
    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
      Martins, Andr{\'e}  and
      Monz, Christof  and
      Negri, Matteo  and
      N{\'e}v{\'e}ol, Aur{\'e}lie  and
      Neves, Mariana  and
      Post, Matt  and
      Turchi, Marco  and
      Verspoor, Karin",
    booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-5404/",
    doi = "10.18653/v1/W19-5404",
    pages = "54--72",
    abstract = "Following the WMT 2018 Shared Task on Parallel Corpus Filtering, we posed the challenge of assigning sentence-level quality scores for very noisy corpora of sentence pairs crawled from the web, with the goal of sub-selecting 2{\%} and 10{\%} of the highest-quality data to be used to train machine translation systems. This year, the task tackled the low resource condition of Nepali-English and Sinhala-English. Eleven participants from companies, national research labs, and universities participated in this task."
}

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%0 Conference Proceedings
%T Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions
%A Koehn, Philipp
%A Guzmán, Francisco
%A Chaudhary, Vishrav
%A Pino, Juan
%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 Martins, André
%Y Monz, Christof
%Y Negri, Matteo
%Y Névéol, Aurélie
%Y Neves, Mariana
%Y Post, Matt
%Y Turchi, Marco
%Y Verspoor, Karin
%S Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F koehn-etal-2019-findings
%X Following the WMT 2018 Shared Task on Parallel Corpus Filtering, we posed the challenge of assigning sentence-level quality scores for very noisy corpora of sentence pairs crawled from the web, with the goal of sub-selecting 2% and 10% of the highest-quality data to be used to train machine translation systems. This year, the task tackled the low resource condition of Nepali-English and Sinhala-English. Eleven participants from companies, national research labs, and universities participated in this task.
%R 10.18653/v1/W19-5404
%U https://aclanthology.org/W19-5404/
%U https://doi.org/10.18653/v1/W19-5404
%P 54-72

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Markdown (Informal)

[Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions](https://aclanthology.org/W19-5404/) (Koehn et al., WMT 2019)

Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions (Koehn et al., WMT 2019)

ACL

Philipp Koehn, Francisco Guzmán, Vishrav Chaudhary, and Juan Pino. 2019. Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions. In Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), pages 54–72, Florence, Italy. Association for Computational Linguistics.