TMUOU Submission for WMT20 Quality Estimation Shared Task
Akifumi Nakamachi, Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi
Abstract
We introduce the TMUOU submission for the WMT20 Quality Estimation Shared Task 1: Sentence-Level Direct Assessment. Our system is an ensemble model of four regression models based on XLM-RoBERTa with language tags. We ranked 4th in Pearson and 2nd in MAE and RMSE on a multilingual track.- Anthology ID:
- 2020.wmt-1.120
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1037–1041
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.120
- DOI:
- Cite (ACL):
- Akifumi Nakamachi, Hiroki Shimanaka, Tomoyuki Kajiwara, and Mamoru Komachi. 2020. TMUOU Submission for WMT20 Quality Estimation Shared Task. In Proceedings of the Fifth Conference on Machine Translation, pages 1037–1041, Online. Association for Computational Linguistics.
- Cite (Informal):
- TMUOU Submission for WMT20 Quality Estimation Shared Task (Nakamachi et al., WMT 2020)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.wmt-1.120.pdf