Abstract
We obtain new results using referential translation machines (RTMs) with predictions mixed and stacked to obtain a better mixture of experts prediction. We are able to achieve better results than the baseline model in Task 1 subtasks. Our stacking results significantly improve the results on the training sets but decrease the test set results. RTMs can achieve to become the 5th among 13 models in ru-en subtask and 5th in the multilingual track of sentence-level Task 1 based on MAE.- Anthology ID:
- 2020.wmt-1.114
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 999–1003
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.114
- DOI:
- Bibkey:
- Cite (ACL):
- Ergun Biçici. 2020. RTM Ensemble Learning Results at Quality Estimation Task. In Proceedings of the Fifth Conference on Machine Translation, pages 999–1003, Online. Association for Computational Linguistics.
- Cite (Informal):
- RTM Ensemble Learning Results at Quality Estimation Task (Biçici, WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.114.pdf
- Video:
- https://slideslive.com/38939628
Export citation
@inproceedings{bicici-2020-rtm,
title = "{RTM} Ensemble Learning Results at Quality Estimation Task",
author = "Bi{\c{c}}ici, Ergun",
editor = {Barrault, Lo{\"\i}c and
Bojar, Ond{\v{r}}ej and
Bougares, Fethi and
Chatterjee, Rajen and
Costa-juss{\`a}, Marta R. and
Federmann, Christian and
Fishel, Mark and
Fraser, Alexander and
Graham, Yvette and
Guzman, Paco and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Martins, Andr{\'e} and
Morishita, Makoto and
Monz, Christof and
Nagata, Masaaki and
Nakazawa, Toshiaki and
Negri, Matteo},
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.114",
pages = "999--1003",
abstract = "We obtain new results using referential translation machines (RTMs) with predictions mixed and stacked to obtain a better mixture of experts prediction. We are able to achieve better results than the baseline model in Task 1 subtasks. Our stacking results significantly improve the results on the training sets but decrease the test set results. RTMs can achieve to become the 5th among 13 models in ru-en subtask and 5th in the multilingual track of sentence-level Task 1 based on MAE.",
}
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%0 Conference Proceedings %T RTM Ensemble Learning Results at Quality Estimation Task %A Biçici, Ergun %Y Barrault, Loïc %Y Bojar, Ondřej %Y Bougares, Fethi %Y Chatterjee, Rajen %Y Costa-jussà, Marta R. %Y Federmann, Christian %Y Fishel, Mark %Y Fraser, Alexander %Y Graham, Yvette %Y Guzman, Paco %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Martins, André %Y Morishita, Makoto %Y Monz, Christof %Y Nagata, Masaaki %Y Nakazawa, Toshiaki %Y Negri, Matteo %S Proceedings of the Fifth Conference on Machine Translation %D 2020 %8 November %I Association for Computational Linguistics %C Online %F bicici-2020-rtm %X We obtain new results using referential translation machines (RTMs) with predictions mixed and stacked to obtain a better mixture of experts prediction. We are able to achieve better results than the baseline model in Task 1 subtasks. Our stacking results significantly improve the results on the training sets but decrease the test set results. RTMs can achieve to become the 5th among 13 models in ru-en subtask and 5th in the multilingual track of sentence-level Task 1 based on MAE. %U https://aclanthology.org/2020.wmt-1.114 %P 999-1003
Markdown (Informal)
[RTM Ensemble Learning Results at Quality Estimation Task](https://aclanthology.org/2020.wmt-1.114) (Biçici, WMT 2020)
- RTM Ensemble Learning Results at Quality Estimation Task (Biçici, WMT 2020)
ACL
- Ergun Biçici. 2020. RTM Ensemble Learning Results at Quality Estimation Task. In Proceedings of the Fifth Conference on Machine Translation, pages 999–1003, Online. Association for Computational Linguistics.