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conftrace_

quality estimation

225 papers

QE

Papers

COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task EMNLP 2022 CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task EMNLP 2022 COMET-QE and Active Learning for Low-Resource Machine Translation EMNLP 2022 Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? EMNLP 2022 CrossQE: HW-TSC 2022 Submission for the Quality Estimation Shared Task EMNLP 2022 Findings of the WMT 2022 Shared Task on Quality Estimation EMNLP 2022 IIT Bombay’s WMT22 Automatic Post-Editing Shared Task Submission EMNLP 2022 KU X Upstage’s Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task EMNLP 2022 Learning Confidence for Transformer-based Neural Machine Translation ACL 2022 MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem EMNLP 2022 MS-COMET: More and Better Human Judgements Improve Metric Performance EMNLP 2022 NJUNLP’s Participation for the WMT2022 Quality Estimation Shared Task EMNLP 2022 Papago’s Submission to the WMT22 Quality Estimation Shared Task EMNLP 2022 PreQuEL: Quality Estimation of Machine Translation Outputs in Advance EMNLP 2022 QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation COLING 2022 Quality-Aware Decoding for Neural Machine Translation NAACL 2022 Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task EMNLP 2022 REUSE: REference-free UnSupervised Quality Estimation Metric EMNLP 2022 Shape-Adaptive Selection and Measurement for Oriented Object Detection AAAI 2022 Translation Error Detection as Rationale Extraction ACL 2022 UniTE: Unified Translation Evaluation ACL 2022 Welocalize-ARC/NKUA’s Submission to the WMT 2022 Quality Estimation Shared Task EMNLP 2022 An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers ACL 2021 Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task EMNLP 2021 Backtranslation Feedback Improves User Confidence in MT, Not Quality NAACL 2021