Just Ask! Evaluating Machine Translation by Asking and Answering Questions

Mateusz Krubiński; Erfan Ghadery; Marie Francine Moens; Pavel Pecina

Just Ask! Evaluating Machine Translation by Asking and Answering Questions

Mateusz Krubiński, Erfan Ghadery, Marie-Francine Moens, Pavel Pecina

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Abstract

In this paper, we show that automatically-generated questions and answers can be used to evaluate the quality of Machine Translation (MT) systems. Building on recent work on the evaluation of abstractive text summarization, we propose a new metric for system-level MT evaluation, compare it with other state-of-the-art solutions, and show its robustness by conducting experiments for various MT directions.

Anthology ID:: 2021.wmt-1.58
Volume:: Proceedings of the Sixth Conference on Machine Translation
Month:: November
Year:: 2021
Address:: Online
Editors:: Loic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Tom Kocmi, Andre Martins, Makoto Morishita, Christof Monz
Venue:: WMT
SIG:: SIGMT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 495–506
Language:
URL:: https://aclanthology.org/2021.wmt-1.58/
DOI:
Bibkey:
Cite (ACL):: Mateusz Krubiński, Erfan Ghadery, Marie-Francine Moens, and Pavel Pecina. 2021. Just Ask! Evaluating Machine Translation by Asking and Answering Questions. In Proceedings of the Sixth Conference on Machine Translation, pages 495–506, Online. Association for Computational Linguistics.
Cite (Informal):: Just Ask! Evaluating Machine Translation by Asking and Answering Questions (Krubiński et al., WMT 2021)
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PDF:: https://aclanthology.org/2021.wmt-1.58.pdf
Video:: https://aclanthology.org/2021.wmt-1.58.mp4

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@inproceedings{krubinski-etal-2021-just,
    title = "Just Ask! Evaluating Machine Translation by Asking and Answering Questions",
    author = "Krubi{\'n}ski, Mateusz  and
      Ghadery, Erfan  and
      Moens, Marie-Francine  and
      Pecina, Pavel",
    editor = "Barrault, Loic  and
      Bojar, Ondrej  and
      Bougares, Fethi  and
      Chatterjee, Rajen  and
      Costa-jussa, Marta R.  and
      Federmann, Christian  and
      Fishel, Mark  and
      Fraser, Alexander  and
      Freitag, Markus  and
      Graham, Yvette  and
      Grundkiewicz, Roman  and
      Guzman, Paco  and
      Haddow, Barry  and
      Huck, Matthias  and
      Yepes, Antonio Jimeno  and
      Koehn, Philipp  and
      Kocmi, Tom  and
      Martins, Andre  and
      Morishita, Makoto  and
      Monz, Christof",
    booktitle = "Proceedings of the Sixth Conference on Machine Translation",
    month = nov,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.wmt-1.58/",
    pages = "495--506",
    abstract = "In this paper, we show that automatically-generated questions and answers can be used to evaluate the quality of Machine Translation (MT) systems. Building on recent work on the evaluation of abstractive text summarization, we propose a new metric for system-level MT evaluation, compare it with other state-of-the-art solutions, and show its robustness by conducting experiments for various MT directions."
}

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%0 Conference Proceedings
%T Just Ask! Evaluating Machine Translation by Asking and Answering Questions
%A Krubiński, Mateusz
%A Ghadery, Erfan
%A Moens, Marie-Francine
%A Pecina, Pavel
%Y Barrault, Loic
%Y Bojar, Ondrej
%Y Bougares, Fethi
%Y Chatterjee, Rajen
%Y Costa-jussa, Marta R.
%Y Federmann, Christian
%Y Fishel, Mark
%Y Fraser, Alexander
%Y Freitag, Markus
%Y Graham, Yvette
%Y Grundkiewicz, Roman
%Y Guzman, Paco
%Y Haddow, Barry
%Y Huck, Matthias
%Y Yepes, Antonio Jimeno
%Y Koehn, Philipp
%Y Kocmi, Tom
%Y Martins, Andre
%Y Morishita, Makoto
%Y Monz, Christof
%S Proceedings of the Sixth Conference on Machine Translation
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online
%F krubinski-etal-2021-just
%X In this paper, we show that automatically-generated questions and answers can be used to evaluate the quality of Machine Translation (MT) systems. Building on recent work on the evaluation of abstractive text summarization, we propose a new metric for system-level MT evaluation, compare it with other state-of-the-art solutions, and show its robustness by conducting experiments for various MT directions.
%U https://aclanthology.org/2021.wmt-1.58/
%P 495-506

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Markdown (Informal)

[Just Ask! Evaluating Machine Translation by Asking and Answering Questions](https://aclanthology.org/2021.wmt-1.58/) (Krubiński et al., WMT 2021)

Just Ask! Evaluating Machine Translation by Asking and Answering Questions (Krubiński et al., WMT 2021)

ACL

Mateusz Krubiński, Erfan Ghadery, Marie-Francine Moens, and Pavel Pecina. 2021. Just Ask! Evaluating Machine Translation by Asking and Answering Questions. In Proceedings of the Sixth Conference on Machine Translation, pages 495–506, Online. Association for Computational Linguistics.