Abstract
Over the years a number of machine translation metrics have been developed in order to evaluate the accuracy and quality of machine-generated translations. Metrics such as BLEU and TER have been used for decades. However, with the rapid progress of machine translation systems, the need for better metrics is growing. This paper proposes an extension of the edit distance, which achieves better human correlation, whilst remaining fast, flexible and easy to understand.- Anthology ID:
- W19-5359
- Volume:
- Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
- 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:
- 514–520
- Language:
- URL:
- https://aclanthology.org/W19-5359
- DOI:
- 10.18653/v1/W19-5359
- Bibkey:
- Cite (ACL):
- Peter Stanchev, Weiyue Wang, and Hermann Ney. 2019. EED: Extended Edit Distance Measure for Machine Translation. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 514–520, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- EED: Extended Edit Distance Measure for Machine Translation (Stanchev et al., WMT 2019)
- Copy Citation:
- PDF:
- https://aclanthology.org/W19-5359.pdf
Export citation
@inproceedings{stanchev-etal-2019-eed,
title = "{EED}: Extended Edit Distance Measure for Machine Translation",
author = "Stanchev, Peter and
Wang, Weiyue and
Ney, Hermann",
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 2: Shared Task Papers, Day 1)",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-5359",
doi = "10.18653/v1/W19-5359",
pages = "514--520",
abstract = "Over the years a number of machine translation metrics have been developed in order to evaluate the accuracy and quality of machine-generated translations. Metrics such as BLEU and TER have been used for decades. However, with the rapid progress of machine translation systems, the need for better metrics is growing. This paper proposes an extension of the edit distance, which achieves better human correlation, whilst remaining fast, flexible and easy to understand.",
}
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%0 Conference Proceedings %T EED: Extended Edit Distance Measure for Machine Translation %A Stanchev, Peter %A Wang, Weiyue %A Ney, Hermann %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 2: Shared Task Papers, Day 1) %D 2019 %8 August %I Association for Computational Linguistics %C Florence, Italy %F stanchev-etal-2019-eed %X Over the years a number of machine translation metrics have been developed in order to evaluate the accuracy and quality of machine-generated translations. Metrics such as BLEU and TER have been used for decades. However, with the rapid progress of machine translation systems, the need for better metrics is growing. This paper proposes an extension of the edit distance, which achieves better human correlation, whilst remaining fast, flexible and easy to understand. %R 10.18653/v1/W19-5359 %U https://aclanthology.org/W19-5359 %U https://doi.org/10.18653/v1/W19-5359 %P 514-520
Markdown (Informal)
[EED: Extended Edit Distance Measure for Machine Translation](https://aclanthology.org/W19-5359) (Stanchev et al., WMT 2019)
- EED: Extended Edit Distance Measure for Machine Translation (Stanchev et al., WMT 2019)
ACL
- Peter Stanchev, Weiyue Wang, and Hermann Ney. 2019. EED: Extended Edit Distance Measure for Machine Translation. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 514–520, Florence, Italy. Association for Computational Linguistics.