Abstract
Within the first shared task on machine translation between similar languages, we present our first attempts on Czech to Polish machine translation from an intercomprehension perspective. We propose methods based on the mutual intelligibility of the two languages, taking advantage of their orthographic and phonological similarity, in the hope to improve over our baselines. The translation results are evaluated using BLEU. On this metric, none of our proposals could outperform the baselines on the final test set. The current setups are rather preliminary, and there are several potential improvements we can try in the future.- Anthology ID:
- W19-5425
- 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:
- 192–196
- Language:
- URL:
- https://aclanthology.org/W19-5425
- DOI:
- 10.18653/v1/W19-5425
- Bibkey:
- Cite (ACL):
- Yu Chen and Tania Avgustinova. 2019. Machine Translation from an Intercomprehension Perspective. In Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), pages 192–196, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Machine Translation from an Intercomprehension Perspective (Chen & Avgustinova, WMT 2019)
- Copy Citation:
- PDF:
- https://aclanthology.org/W19-5425.pdf
Export citation
@inproceedings{chen-avgustinova-2019-machine,
title = "Machine Translation from an Intercomprehension Perspective",
author = "Chen, Yu and
Avgustinova, Tania",
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/W19-5425",
doi = "10.18653/v1/W19-5425",
pages = "192--196",
abstract = "Within the first shared task on machine translation between similar languages, we present our first attempts on Czech to Polish machine translation from an intercomprehension perspective. We propose methods based on the mutual intelligibility of the two languages, taking advantage of their orthographic and phonological similarity, in the hope to improve over our baselines. The translation results are evaluated using BLEU. On this metric, none of our proposals could outperform the baselines on the final test set. The current setups are rather preliminary, and there are several potential improvements we can try in the future.",
}
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%0 Conference Proceedings %T Machine Translation from an Intercomprehension Perspective %A Chen, Yu %A Avgustinova, Tania %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 chen-avgustinova-2019-machine %X Within the first shared task on machine translation between similar languages, we present our first attempts on Czech to Polish machine translation from an intercomprehension perspective. We propose methods based on the mutual intelligibility of the two languages, taking advantage of their orthographic and phonological similarity, in the hope to improve over our baselines. The translation results are evaluated using BLEU. On this metric, none of our proposals could outperform the baselines on the final test set. The current setups are rather preliminary, and there are several potential improvements we can try in the future. %R 10.18653/v1/W19-5425 %U https://aclanthology.org/W19-5425 %U https://doi.org/10.18653/v1/W19-5425 %P 192-196
Markdown (Informal)
[Machine Translation from an Intercomprehension Perspective](https://aclanthology.org/W19-5425) (Chen & Avgustinova, WMT 2019)
- Machine Translation from an Intercomprehension Perspective (Chen & Avgustinova, WMT 2019)
ACL
- Yu Chen and Tania Avgustinova. 2019. Machine Translation from an Intercomprehension Perspective. In Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), pages 192–196, Florence, Italy. Association for Computational Linguistics.