Findings of the WMT 2021 shared task on quality estimation
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 …
challenge is to predict the quality of the output of neural machine translation systems at the …
Findings of the WMT 2023 shared task on quality estimation
We report the results of the WMT 2023 shared task on Quality Estimation, in which the
challenge is to predict the quality of the output of neural machine translation systems at the …
challenge is to predict the quality of the output of neural machine translation systems at the …
Denoising pre-training for machine translation quality estimation with curriculum learning
Quality estimation (QE) aims to assess the quality of machine translations when reference
translations are unavailable. QE plays a crucial role in many real-world applications of …
translations are unavailable. QE plays a crucial role in many real-world applications of …
From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation
Machine Translation Quality Estimation (MTQE) is the task of estimating the quality of
machine-translated text in real time without the need for reference translations, which is of …
machine-translated text in real time without the need for reference translations, which is of …
Original or translated? on the use of parallel data for translation quality estimation
Machine Translation Quality Estimation (QE) is the task of evaluating translation output in the
absence of human-written references. Due to the scarcity of human-labeled QE data …
absence of human-written references. Due to the scarcity of human-labeled QE data …
Interpreting quality assessment re-imagined: The synergy between human and machine scoring
C Han, X Lu - Interpreting and Society, 2021 - journals.sagepub.com
Assessment of interpreting quality is a ubiquitous social practice in the interpreting industry
and academia. In this article, we focus on both psychometric and social dimensions of …
and academia. In this article, we focus on both psychometric and social dimensions of …
Quality estimation using dual encoders with transfer learning
This paper describes POSTECH's quality estimation systems submitted to Task 2 of the WMT
2021 quality estimation shared task: Word and Sentence-Level Post-editing Effort. We notice …
2021 quality estimation shared task: Word and Sentence-Level Post-editing Effort. We notice …
Synxlm-r: Syntax-enhanced xlm-r in translation quality estimation
Quality estimation (QE) is an NLP downstream task that aims to determine the quality of
translations without given references. Existing QE models mainly draw on neural-based or …
translations without given references. Existing QE models mainly draw on neural-based or …
Towards Making the Most of Pre-trained Translation Model for Quality Estimation
Abstract Machine translation quality estimation (QE) aims to evaluate the quality of machine
translation automatically without relying on any reference. One common practice is applying …
translation automatically without relying on any reference. One common practice is applying …