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 …

Fine-grained error span detection is a sub-task within quality estimation that aims to identify
and assess the spans and severity of errors present in translated sentences. In prior quality …

This paper introduces an advanced methodology for machine translation (MT) corpus
generation, integrating semi-automated, human-in-the-loop post-editing with large language …

Translation Quality Evaluation (TQE) is an essential step of the modern translation
production process. TQE is critical in assessing both machine translation (MT) and human …

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 …

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 …

Critical error detection (CED) aims to identify the presence of catastrophic meaning
distortion in machine translation. Fatal errors require significant attention because of their …

Quality Estimation (QE) is the prediction of translation quality without reference to the
translation. Critical Error Detection (CED), as a sub-task of the QE task, aims to detect and …