Quality assessment in interlingual live subtitling: The NTR model
This article presents a model for assessing the quality of interlingual live subtitling, as carried out by way of respeaking and automatic speech recognition or other means. The first part reviews the requirements and formulas for quality assessment in intralingual live subtitling and presents the NER model, developed by the first author, which serves as a foundation for the new model. Drawing on insights from the literature on both prerecorded interlingual subtitling and simultaneous interpreting, the authors then introduce the NTR model, an NER-based formula for calculating the accuracy rate of (interlingual) live subtitles. The model features a set of categories for scoring the accuracy of content and form as well as a three-level grading scale for translation and recognition errors. The application of the NTR model is exemplified, highlighting the role of the accuracy rate as part of an overall qualitative assessment.
Financing Entity: Agencia Estatal de Investigación; FEDERStart Date: 30/12/2016End Date: 30/12/2019I.P.: Margarita Ledo Andión y Enrique Castelló MayoParticipating Researchers: Margarita Ledo Andión Marta Pérez Pereiro Andrés Fraga Pérez José Luis Castro de Paz Enrique Castelló Mayo Antía López Gómez Fernando Redondo Neira , Xose Henrique Monteagudo Romero (USC), Carlos Pío del Oro Sáez (USC), Silvia Roca Baamonde (USC), Miren Manias Muñoz (UPV), Pablo Romero Fresco (Uvigo), María Soliña Barreiro González (ESUPT-UPF), Francisco Javier Azpillaga Goenaga (UPV-EHU), María José Deogracias (UPV-EHU), Beatriz Zabalondo Loidi (UPV-EHU), Judith Clares Gavilán (UOC), Jaques Guyot (Universitè Paris 8), Steve Blandford (University of South Wales), Ruth McElroy (University of South Wales), Pietari Kääpa (University of Stirling) Participating Entities: Universidade de Santiago de Compostela, Universidade de Vigo, Euskal Herriko Unibertsitatea, Escola Universitária Politécnica Mataró-UPF, Universitat Oberta de Catalunya, Universitè Paris 8, University of South Wales, University of Stirling