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.