The MLLP-UPV German-English Machine Translation System for WMT18
Javier Iranzo-Sánchez, Pau Baquero-Arnal, Gonçal V. Garcés Díaz-Munío, Adrià Martínez-Villaronga, Jorge Civera, Alfons Juan
Abstract
This paper describes the statistical machine translation system built by the MLLP research group of Universitat Politècnica de València for the German→English news translation shared task of the EMNLP 2018 Third Conference on Machine Translation (WMT18). We used an ensemble of Transformer architecture–based neural machine translation systems. To train our system under “constrained” conditions, we filtered the provided parallel data with a scoring technique using character-based language models, and we added parallel data based on synthetic source sentences generated from the provided monolingual corpora.- Anthology ID:
- W18-6414
- Volume:
- Proceedings of the Third Conference on Machine Translation: Shared Task Papers
- Month:
- October
- Year:
- 2018
- Address:
- Belgium, Brussels
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 418–424
- Language:
- URL:
- https://aclanthology.org/W18-6414
- DOI:
- 10.18653/v1/W18-6414
- Bibkey:
- Cite (ACL):
- Javier Iranzo-Sánchez, Pau Baquero-Arnal, Gonçal V. Garcés Díaz-Munío, Adrià Martínez-Villaronga, Jorge Civera, and Alfons Juan. 2018. The MLLP-UPV German-English Machine Translation System for WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 418–424, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- The MLLP-UPV German-English Machine Translation System for WMT18 (Iranzo-Sánchez et al., WMT 2018)
- Copy Citation:
- PDF:
- https://aclanthology.org/W18-6414.pdf
- Poster:
- W18-6414.Poster.pdf
- Data
- WMT 2015, WMT 2018, WMT 2018 News
Export citation
@inproceedings{iranzo-sanchez-etal-2018-mllp,
title = "The {MLLP}-{UPV} {G}erman-{E}nglish Machine Translation System for {WMT}18",
author = "Iranzo-S{\'a}nchez, Javier and
Baquero-Arnal, Pau and
Garc{\'e}s D{\'\i}az-Mun{\'\i}o, Gon{\c{c}}al V. and
Mart{\'\i}nez-Villaronga, Adri{\`a} and
Civera, Jorge and
Juan, Alfons",
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
Monz, Christof and
Negri, Matteo and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Neves, Mariana and
Post, Matt and
Specia, Lucia and
Turchi, Marco and
Verspoor, Karin",
booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
month = oct,
year = "2018",
address = "Belgium, Brussels",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6414",
doi = "10.18653/v1/W18-6414",
pages = "418--424",
abstract = "This paper describes the statistical machine translation system built by the MLLP research group of Universitat Polit{\`e}cnica de Val{\`e}ncia for the German→English news translation shared task of the EMNLP 2018 Third Conference on Machine Translation (WMT18). We used an ensemble of Transformer architecture{--}based neural machine translation systems. To train our system under {``}constrained{''} conditions, we filtered the provided parallel data with a scoring technique using character-based language models, and we added parallel data based on synthetic source sentences generated from the provided monolingual corpora.",
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%0 Conference Proceedings %T The MLLP-UPV German-English Machine Translation System for WMT18 %A Iranzo-Sánchez, Javier %A Baquero-Arnal, Pau %A Garcés Díaz-Munío, Gonçal V. %A Martínez-Villaronga, Adrià %A Civera, Jorge %A Juan, Alfons %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 Monz, Christof %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Post, Matt %Y Specia, Lucia %Y Turchi, Marco %Y Verspoor, Karin %S Proceedings of the Third Conference on Machine Translation: Shared Task Papers %D 2018 %8 October %I Association for Computational Linguistics %C Belgium, Brussels %F iranzo-sanchez-etal-2018-mllp %X This paper describes the statistical machine translation system built by the MLLP research group of Universitat Politècnica de València for the German→English news translation shared task of the EMNLP 2018 Third Conference on Machine Translation (WMT18). We used an ensemble of Transformer architecture–based neural machine translation systems. To train our system under “constrained” conditions, we filtered the provided parallel data with a scoring technique using character-based language models, and we added parallel data based on synthetic source sentences generated from the provided monolingual corpora. %R 10.18653/v1/W18-6414 %U https://aclanthology.org/W18-6414 %U https://doi.org/10.18653/v1/W18-6414 %P 418-424
Markdown (Informal)
[The MLLP-UPV German-English Machine Translation System for WMT18](https://aclanthology.org/W18-6414) (Iranzo-Sánchez et al., WMT 2018)
- The MLLP-UPV German-English Machine Translation System for WMT18 (Iranzo-Sánchez et al., WMT 2018)
ACL
- Javier Iranzo-Sánchez, Pau Baquero-Arnal, Gonçal V. Garcés Díaz-Munío, Adrià Martínez-Villaronga, Jorge Civera, and Alfons Juan. 2018. The MLLP-UPV German-English Machine Translation System for WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 418–424, Belgium, Brussels. Association for Computational Linguistics.