Assessing the Comprehensibility of Automatic Translations (ArisToCAT)

Lieve Macken; Margot Fonteyne; Arda Tezcan; Joke Daems

Assessing the Comprehensibility of Automatic Translations (ArisToCAT)

Lieve Macken, Margot Fonteyne, Arda Tezcan, Joke Daems

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The ArisToCAT project aims to assess the comprehensibility of ‘raw’ (unedited) MT output for readers who can only rely on the MT output. In this project description, we summarize the main results of the project and present future work.

Anthology ID:: 2020.eamt-1.64
Volume:: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
Month:: November
Year:: 2020
Address:: Lisboa, Portugal
Editors:: André Martins, Helena Moniz, Sara Fumega, Bruno Martins, Fernando Batista, Luisa Coheur, Carla Parra, Isabel Trancoso, Marco Turchi, Arianna Bisazza, Joss Moorkens, Ana Guerberof, Mary Nurminen, Lena Marg, Mikel L. Forcada
Venue:: EAMT
SIG:
Publisher:: European Association for Machine Translation
Note:
Pages:: 485–486
Language:
URL:: https://aclanthology.org/2020.eamt-1.64/
DOI:
Bibkey:
Cite (ACL):: Lieve Macken, Margot Fonteyne, Arda Tezcan, and Joke Daems. 2020. Assessing the Comprehensibility of Automatic Translations (ArisToCAT). In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pages 485–486, Lisboa, Portugal. European Association for Machine Translation.
Cite (Informal):: Assessing the Comprehensibility of Automatic Translations (ArisToCAT) (Macken et al., EAMT 2020)
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PDF:: https://aclanthology.org/2020.eamt-1.64.pdf

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@inproceedings{macken-etal-2020-assessing,
    title = "Assessing the Comprehensibility of Automatic Translations ({A}ris{T}o{CAT})",
    author = "Macken, Lieve  and
      Fonteyne, Margot  and
      Tezcan, Arda  and
      Daems, Joke",
    editor = "Martins, Andr{\'e}  and
      Moniz, Helena  and
      Fumega, Sara  and
      Martins, Bruno  and
      Batista, Fernando  and
      Coheur, Luisa  and
      Parra, Carla  and
      Trancoso, Isabel  and
      Turchi, Marco  and
      Bisazza, Arianna  and
      Moorkens, Joss  and
      Guerberof, Ana  and
      Nurminen, Mary  and
      Marg, Lena  and
      Forcada, Mikel L.",
    booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
    month = nov,
    year = "2020",
    address = "Lisboa, Portugal",
    publisher = "European Association for Machine Translation",
    url = "https://aclanthology.org/2020.eamt-1.64/",
    pages = "485--486",
    abstract = "The ArisToCAT project aims to assess the comprehensibility of `raw' (unedited) MT output for readers who can only rely on the MT output. In this project description, we summarize the main results of the project and present future work."
}

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%0 Conference Proceedings
%T Assessing the Comprehensibility of Automatic Translations (ArisToCAT)
%A Macken, Lieve
%A Fonteyne, Margot
%A Tezcan, Arda
%A Daems, Joke
%Y Martins, André
%Y Moniz, Helena
%Y Fumega, Sara
%Y Martins, Bruno
%Y Batista, Fernando
%Y Coheur, Luisa
%Y Parra, Carla
%Y Trancoso, Isabel
%Y Turchi, Marco
%Y Bisazza, Arianna
%Y Moorkens, Joss
%Y Guerberof, Ana
%Y Nurminen, Mary
%Y Marg, Lena
%Y Forcada, Mikel L.
%S Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
%D 2020
%8 November
%I European Association for Machine Translation
%C Lisboa, Portugal
%F macken-etal-2020-assessing
%X The ArisToCAT project aims to assess the comprehensibility of ‘raw’ (unedited) MT output for readers who can only rely on the MT output. In this project description, we summarize the main results of the project and present future work.
%U https://aclanthology.org/2020.eamt-1.64/
%P 485-486

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Markdown (Informal)

[Assessing the Comprehensibility of Automatic Translations (ArisToCAT)](https://aclanthology.org/2020.eamt-1.64/) (Macken et al., EAMT 2020)

Assessing the Comprehensibility of Automatic Translations (ArisToCAT) (Macken et al., EAMT 2020)

ACL

Lieve Macken, Margot Fonteyne, Arda Tezcan, and Joke Daems. 2020. Assessing the Comprehensibility of Automatic Translations (ArisToCAT). In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pages 485–486, Lisboa, Portugal. European Association for Machine Translation.