Papers with MT output quality

1 papers
HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation (2022.lrec-1)

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Challenge: Existing automated evaluation metrics for machine translation are expensive and lack inter-rater reliability.
Approach: They propose a task-oriented and human-centric evaluation framework for machine translation output based on professional post-e diting annotations.
Outcome: The proposed framework improves translation quality and system performance and transparency . it is cost-effective, easy to use and faster to implement .

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