Abstract
In this paper, we describe our participation in the 2021 Workshop on Asian Translation (team ID: tpt_wat). We submitted results for all six directions of the JPC2 patent task. As a first-time participant in the task, we attempted to identify a single configuration that provided the best overall results across all language pairs. All our submissions were created using single base transformer models, trained on only the task-specific data, using a consistent configuration of hyperparameters. In contrast to the uniformity of our methods, our results vary widely across the six language pairs.- Anthology ID:
- 2021.wat-1.14
- Volume:
- Proceedings of the 8th Workshop on Asian Translation (WAT2021)
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Editors:
- Toshiaki Nakazawa, Hideki Nakayama, Isao Goto, Hideya Mino, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Shohei Higashiyama, Hiroshi Manabe, Win Pa Pa, Shantipriya Parida, Ondřej Bojar, Chenhui Chu, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Katsuhito Sudoh, Sadao Kurohashi, Pushpak Bhattacharyya
- Venue:
- WAT
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 138–140
- Language:
- URL:
- https://aclanthology.org/2021.wat-1.14
- DOI:
- 10.18653/v1/2021.wat-1.14
- Bibkey:
- Cite (ACL):
- Wiktor Stribiżew, Fred Bane, José Conceição, and Anna Zaretskaya. 2021. System Description for Transperfect. In Proceedings of the 8th Workshop on Asian Translation (WAT2021), pages 138–140, Online. Association for Computational Linguistics.
- Cite (Informal):
- System Description for Transperfect (Stribiżew et al., WAT 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.wat-1.14.pdf
Export citation
@inproceedings{stribizew-etal-2021-system,
title = "System Description for Transperfect",
author = "Stribi{\.z}ew, Wiktor and
Bane, Fred and
Concei{\c{c}}{\~a}o, Jos{\'e} and
Zaretskaya, Anna",
editor = "Nakazawa, Toshiaki and
Nakayama, Hideki and
Goto, Isao and
Mino, Hideya and
Ding, Chenchen and
Dabre, Raj and
Kunchukuttan, Anoop and
Higashiyama, Shohei and
Manabe, Hiroshi and
Pa, Win Pa and
Parida, Shantipriya and
Bojar, Ond{\v{r}}ej and
Chu, Chenhui and
Eriguchi, Akiko and
Abe, Kaori and
Oda, Yusuke and
Sudoh, Katsuhito and
Kurohashi, Sadao and
Bhattacharyya, Pushpak",
booktitle = "Proceedings of the 8th Workshop on Asian Translation (WAT2021)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.wat-1.14",
doi = "10.18653/v1/2021.wat-1.14",
pages = "138--140",
abstract = "In this paper, we describe our participation in the 2021 Workshop on Asian Translation (team ID: tpt{\_}wat). We submitted results for all six directions of the JPC2 patent task. As a first-time participant in the task, we attempted to identify a single configuration that provided the best overall results across all language pairs. All our submissions were created using single base transformer models, trained on only the task-specific data, using a consistent configuration of hyperparameters. In contrast to the uniformity of our methods, our results vary widely across the six language pairs.",
}
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%0 Conference Proceedings %T System Description for Transperfect %A Stribiżew, Wiktor %A Bane, Fred %A Conceição, José %A Zaretskaya, Anna %Y Nakazawa, Toshiaki %Y Nakayama, Hideki %Y Goto, Isao %Y Mino, Hideya %Y Ding, Chenchen %Y Dabre, Raj %Y Kunchukuttan, Anoop %Y Higashiyama, Shohei %Y Manabe, Hiroshi %Y Pa, Win Pa %Y Parida, Shantipriya %Y Bojar, Ondřej %Y Chu, Chenhui %Y Eriguchi, Akiko %Y Abe, Kaori %Y Oda, Yusuke %Y Sudoh, Katsuhito %Y Kurohashi, Sadao %Y Bhattacharyya, Pushpak %S Proceedings of the 8th Workshop on Asian Translation (WAT2021) %D 2021 %8 August %I Association for Computational Linguistics %C Online %F stribizew-etal-2021-system %X In this paper, we describe our participation in the 2021 Workshop on Asian Translation (team ID: tpt_wat). We submitted results for all six directions of the JPC2 patent task. As a first-time participant in the task, we attempted to identify a single configuration that provided the best overall results across all language pairs. All our submissions were created using single base transformer models, trained on only the task-specific data, using a consistent configuration of hyperparameters. In contrast to the uniformity of our methods, our results vary widely across the six language pairs. %R 10.18653/v1/2021.wat-1.14 %U https://aclanthology.org/2021.wat-1.14 %U https://doi.org/10.18653/v1/2021.wat-1.14 %P 138-140
Markdown (Informal)
[System Description for Transperfect](https://aclanthology.org/2021.wat-1.14) (Stribiżew et al., WAT 2021)
- System Description for Transperfect (Stribiżew et al., WAT 2021)
ACL
- Wiktor Stribiżew, Fred Bane, José Conceição, and Anna Zaretskaya. 2021. System Description for Transperfect. In Proceedings of the 8th Workshop on Asian Translation (WAT2021), pages 138–140, Online. Association for Computational Linguistics.