Findings of the WMT 2021 shared task on quality estimation

L Specia, F Blain, M Fomicheva, C Zerva… - Proceedings of the …, 2021 - aclanthology.org
We report the results of the WMT 2021 shared task on Quality Estimation, where the
challenge is to predict the quality of the output of neural machine translation systems at the …

KU X upstage's submission for the WMT22 quality estimation: Critical error detection shared task

S Eo, C Park, H Moon, J Seo… - Proceedings of the Seventh …, 2022 - aclanthology.org
This paper presents KU X Upstage's submission to the quality estimation (QE): critical error
detection (CED) shared task in WMT22. We leverage the XLM-RoBERTa large model …

Towards Precise Localization of Critical Errors in Machine Translation

D Jung, S Eo, HS Lim - Findings of the Association for …, 2024 - aclanthology.org
The advent of large language models has experienced a remarkable improvement in the
field of machine translation. However, machine translation is still vulnerable to critical …

Informative Evidence-guided Prompt-based Fine-tuning for English-Korean Critical Error Detection

D Jung, S Eo, C Park, H Moon, J Seo… - Proceedings of the 13th …, 2023 - aclanthology.org
Critical error detection (CED) aims to identify the presence of catastrophic meaning
distortion in machine translation. Fatal errors require significant attention because of their …

Detecting Critical Errors Considering Cross-Cultural Factors in English-Korean Translation

S Eo, J Lim, C Park, D Jung, S Koo… - Proceedings of the …, 2024 - aclanthology.org
Recent machine translation (MT) systems have overcome language barriers for a wide
range of users, yet they still carry the risk of critical meaning deviation. Critical error detection …

Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation

D Jung, S Eo, C Park, HS Lim - … of the 2024 Conference of the …, 2024 - aclanthology.org
Critical error detection (CED) in machine translation is a task that aims to detect errors that
significantly distort the intended meaning. However, the existing study of CED lacks …

[PDF][PDF] Towards Informed Pre-Training for Critical Error Detection in English-German.

L Pucknat, M Pielka, R Sifa - LWDA, 2022 - publica.fraunhofer.de
This paper presents two data augmentation methods for pre-training, to find critical errors in
machine translations. This includes an alignment approach used in traditional machine …

KoCED: English-Korean Critical Error Detection Dataset

S Choi, S Koo, D Jung, C Park, S Eo, J Seo… - … on Human and …, 2022 - koreascience.kr
최근 기계번역 분야는 괄목할만한 발전을 보였으나, 번역 결과의 오류가 불완전한 의미의
왜곡으로 이어지면서 사용자로 하여금 불편한 반응을 야기하거나 사회적 파장을 초래하는 …

[引用][C] Robust Machine Translation Evaluation Focusing on Critical Errors

RCD Rei - 2022