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

Raúl Vázquez; Umut Sulubacak; Jörg Tiedemann

doi:10.18653/v1/W19-5441

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

Raúl Vázquez, Umut Sulubacak, Jörg Tiedemann

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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
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:: 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)
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PDF:: https://aclanthology.org/W19-5441.pdf

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@inproceedings{vazquez-etal-2019-university,
    title = "The {U}niversity of {H}elsinki Submission to the {WMT}19 Parallel Corpus Filtering Task",
    author = {V{\'a}zquez, Ra{\'u}l  and
      Sulubacak, Umut  and
      Tiedemann, J{\"o}rg},
    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/W19-5441/",
    doi = "10.18653/v1/W19-5441",
    pages = "294--300",
    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."
}

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%0 Conference Proceedings
%T The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task
%A Vázquez, Raúl
%A Sulubacak, Umut
%A Tiedemann, Jörg
%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 vazquez-etal-2019-university
%X 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.
%R 10.18653/v1/W19-5441
%U https://aclanthology.org/W19-5441/
%U https://doi.org/10.18653/v1/W19-5441
%P 294-300

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Markdown (Informal)

[The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task](https://aclanthology.org/W19-5441/) (Vázquez et al., WMT 2019)

The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task (Vázquez et al., WMT 2019)

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.