direct assessment

MTQE.en-he: Machine Translation Quality Estimation for English-Hebrew EACL 2026 EPOQUE: An English-Persian Quality Estimation Dataset COLING 2024 Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation COLING 2024 How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? ACL 2024 Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models EMNLP 2024 Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet EMNLP 2023 MEE4 and XLsim : IIIT HYD’s Submissions’ for WMT23 Metrics Shared Task EMNLP 2023 Alibaba-Translate China’s Submission for WMT 2022 Quality Estimation Shared Task EMNLP 2022 COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task EMNLP 2022 Findings of the 2022 Conference on Machine Translation (WMT22) EMNLP 2022 Findings of the WMT 2022 Shared Task on Quality Estimation EMNLP 2022 Searching for a Higher Power in the Human Evaluation of MT EMNLP 2022 Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task EMNLP 2021 IST-Unbabel 2021 Submission for the Quality Estimation Shared Task EMNLP 2021 TUDa at WMT21: Sentence-Level Direct Assessment with Adapters EMNLP 2021 BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task EMNLP 2020 Machine Translation Human Evaluation: an investigation of evaluation based on Post-Editing and its relation with Direct Assessment EMNLP 2018 Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance EMNLP 2018 Is all that Glitters in Machine Translation Quality Estimation really Gold? COLING 2016