Identifying fluency parameters for a machine-learning-based automated interpreting assessment system

Wang, B orcid.org/0000-0003-2404-5214 and Wang, X orcid.org/0000-0001-5863-5517 (2022) Identifying fluency parameters for a machine-learning-based automated interpreting assessment system. Perspectives. ISSN 0907-676X

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Consecutive interpreting; automated assessment; fluency parameters; descriptive statistical analysis
Dates:
  • Accepted: 3 October 2022
  • Published (online): 24 October 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Languages Cultures & Societies (Leeds) > Translation Studies (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 21 Oct 2022 10:31
Last Modified: 25 Jun 2023 23:07
Status: Published online
Publisher: Taylor and Francis Group
Identification Number: https://doi.org/10.1080/0907676X.2022.2133618

Export

Statistics