MT-Pese: Machine Translation and Post-Editese

Sheila Castilho; Natália Resende

MT-Pese: Machine Translation and Post-Editese

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Abstract

This paper introduces the MT-Pese project, which aims at researching the post-editese phenomena in machine translated texts. We describe a range of experiments performed in order to gauge the effect of post-editese in dif-ferent domains, backtranslation, and quality.

Anthology ID:: 2022.eamt-1.42
Volume:: Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Month:: June
Year:: 2022
Address:: Ghent, Belgium
Editors:: Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
Venue:: EAMT
SIG:
Publisher:: European Association for Machine Translation
Note:
Pages:: 305–306
Language:
URL:: https://aclanthology.org/2022.eamt-1.42/
DOI:
Bibkey:
Cite (ACL):: Sheila Castilho and Natália Resende. 2022. MT-Pese: Machine Translation and Post-Editese. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 305–306, Ghent, Belgium. European Association for Machine Translation.
Cite (Informal):: MT-Pese: Machine Translation and Post-Editese (Castilho & Resende, EAMT 2022)
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PDF:: https://aclanthology.org/2022.eamt-1.42.pdf

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@inproceedings{castilho-resende-2022-mt,
    title = "{MT}-Pese: Machine Translation and Post-Editese",
    author = "Castilho, Sheila  and
      Resende, Nat{\'a}lia",
    editor = {Moniz, Helena  and
      Macken, Lieve  and
      Rufener, Andrew  and
      Barrault, Lo{\"i}c  and
      Costa-juss{\`a}, Marta R.  and
      Declercq, Christophe  and
      Koponen, Maarit  and
      Kemp, Ellie  and
      Pilos, Spyridon  and
      Forcada, Mikel L.  and
      Scarton, Carolina  and
      Van den Bogaert, Joachim  and
      Daems, Joke  and
      Tezcan, Arda  and
      Vanroy, Bram  and
      Fonteyne, Margot},
    booktitle = "Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",
    month = jun,
    year = "2022",
    address = "Ghent, Belgium",
    publisher = "European Association for Machine Translation",
    url = "https://aclanthology.org/2022.eamt-1.42/",
    pages = "305--306",
    abstract = "This paper introduces the MT-Pese project, which aims at researching the post-editese phenomena in machine translated texts. We describe a range of experiments performed in order to gauge the effect of post-editese in dif-ferent domains, backtranslation, and quality."
}

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%0 Conference Proceedings
%T MT-Pese: Machine Translation and Post-Editese
%A Castilho, Sheila
%A Resende, Natália
%Y Moniz, Helena
%Y Macken, Lieve
%Y Rufener, Andrew
%Y Barrault, Loïc
%Y Costa-jussà, Marta R.
%Y Declercq, Christophe
%Y Koponen, Maarit
%Y Kemp, Ellie
%Y Pilos, Spyridon
%Y Forcada, Mikel L.
%Y Scarton, Carolina
%Y Van den Bogaert, Joachim
%Y Daems, Joke
%Y Tezcan, Arda
%Y Vanroy, Bram
%Y Fonteyne, Margot
%S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
%D 2022
%8 June
%I European Association for Machine Translation
%C Ghent, Belgium
%F castilho-resende-2022-mt
%X This paper introduces the MT-Pese project, which aims at researching the post-editese phenomena in machine translated texts. We describe a range of experiments performed in order to gauge the effect of post-editese in dif-ferent domains, backtranslation, and quality.
%U https://aclanthology.org/2022.eamt-1.42/
%P 305-306

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Markdown (Informal)

[MT-Pese: Machine Translation and Post-Editese](https://aclanthology.org/2022.eamt-1.42/) (Castilho & Resende, EAMT 2022)

MT-Pese: Machine Translation and Post-Editese (Castilho & Resende, EAMT 2022)

ACL

Sheila Castilho and Natália Resende. 2022. MT-Pese: Machine Translation and Post-Editese. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 305–306, Ghent, Belgium. European Association for Machine Translation.