The Use of Respeaking for the Transcription of Non-Fictional
Genres: An Exploratory Study
Transcription is not only a useful tool for audiovisual translation, but also a task that is being increasingly performed by translators in different scenarios. This article presents the results of an experiment in which three transcription methods are compared: manual transcription, respeaking, and revision of a transcript generated by speech recognition. The emphasis is put on respeaking, which is expected to be a useful method to speed up the process of transcription and have a positive impact on the transcribers’ experience. Both objective and subjective measures were obtained: on the one hand, the time spent on each task and the output quality based on the NER metrics and on the other, the participants’ opinions before and after the task, namely the self-reported effort, boredom, confidence in the accuracy of the transcript and overall quality.
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