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Neural network models vs. MT evaluation metrics: a comparison between two approaches to automated assessment of information fidelity in consecutive interpreting

Crossref DOI link: https://doi.org/10.1057/s41599-026-06562-z

Published Online: 2026-03-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Xiaoman https://orcid.org/0000-0001-5863-5517
Wang, Binhua
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Text and Data Mining valid from 2026-03-12

Accepted Manuscript valid from 2026-03-12
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Article History

Received: 22 November 2023

Accepted: 20 January 2026

First Online: 12 March 2026

Competing interests

: The authors declare no competing interests.

: This study was performed in line with the principles of the Declaration of Helsinki. Ethical approval was granted by the Arts, Humanities and Cultures Faculty Research Ethics Committee (FREC), University of Leeds (Approval Number: LTSLCS-129; Date of Approval: 03 March 2021). The approval covered all study procedures involving human participants.

: Written informed consent was obtained from all individual participants prior to their participation in the study. Consent was collected by the lead researcher between 2021-2022 following ethics approval. Participants were fully informed about the purpose of the research, how their data would be used, and that findings would be published. Participants were also assured of their anonymity and their right to withdraw at any time without consequence.

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