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
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:
1037–1041
Language:
URL:
https://aclanthology.org/2020.wmt-1.120
DOI:
Bibkey:
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)
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PDF:
https://preview.aclanthology.org/add_acl24_videos/2020.wmt-1.120.pdf
Video:
 https://slideslive.com/38939602