Correct Metadata for
Abstract
We obtain new results using referential translation machines with increased number of learning models in the set of results that are stacked to obtain a better mixture of experts prediction. We combine features extracted from the word-level predictions with the sentence- or document-level features, which significantly improve the results on the training sets but decrease the test set results.- Anthology ID:
- W19-5405
- 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:
- 73–77
- Language:
- URL:
- https://aclanthology.org/W19-5405/
- DOI:
- 10.18653/v1/W19-5405
- Bibkey:
- Cite (ACL):
- Ergun Biçici. 2019. RTM Stacking Results for Machine Translation Performance Prediction. In Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), pages 73–77, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- RTM Stacking Results for Machine Translation Performance Prediction (Biçici, WMT 2019)
- Copy Citation:
- PDF:
- https://aclanthology.org/W19-5405.pdf
Export citation
@inproceedings{bicici-2019-rtm,
title = "{RTM} Stacking Results for Machine Translation Performance Prediction",
author = "Bi{\c{c}}ici, Ergun",
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/W19-5405/",
doi = "10.18653/v1/W19-5405",
pages = "73--77",
abstract = "We obtain new results using referential translation machines with increased number of learning models in the set of results that are stacked to obtain a better mixture of experts prediction. We combine features extracted from the word-level predictions with the sentence- or document-level features, which significantly improve the results on the training sets but decrease the test set results."
}
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%0 Conference Proceedings %T RTM Stacking Results for Machine Translation Performance Prediction %A Biçici, Ergun %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 bicici-2019-rtm %X We obtain new results using referential translation machines with increased number of learning models in the set of results that are stacked to obtain a better mixture of experts prediction. We combine features extracted from the word-level predictions with the sentence- or document-level features, which significantly improve the results on the training sets but decrease the test set results. %R 10.18653/v1/W19-5405 %U https://aclanthology.org/W19-5405/ %U https://doi.org/10.18653/v1/W19-5405 %P 73-77
Markdown (Informal)
[RTM Stacking Results for Machine Translation Performance Prediction](https://aclanthology.org/W19-5405/) (Biçici, WMT 2019)
- RTM Stacking Results for Machine Translation Performance Prediction (Biçici, WMT 2019)
ACL
- Ergun Biçici. 2019. RTM Stacking Results for Machine Translation Performance Prediction. In Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), pages 73–77, Florence, Italy. Association for Computational Linguistics.