Papers with automatic quality estimation

1 papers
SpeechQE: Estimating the Quality of Direct Speech Translation (2024.emnlp-main)

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Challenge: Recent advances in automatic quality estimation for machine translation focus on written language, leaving the speech modality underexplored.
Approach: They propose a new quality estimation system based on cascaded and end-to-end architectures.
Outcome: The proposed system is better suited to estimating the quality of direct speech translation than existing systems designed for text translation.

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