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La tecnología habla-texto como herramienta de documentación para intérpretes: Nuevo método para compilar un corpus ad hoc y extraer terminología a partir de discursos orales en vídeo
Gaber, Mahmoud Corpas Pastor, Gloria Omer, Ahmed
Gaber, Mahmoud
Corpas Pastor, Gloria
Omer, Ahmed
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2020-12-22
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Speech-to-Text Technology as a Documentation Tool for Interpreters: a new approach to compiling an ad hoc corpus and extracting terminology from video-recorded speeches
Abstract
Although interpreting has not yet benefited from technology as much as its sister field, translation, interest in developing tailor-made solutions for interpreters has risen sharply in recent years. In particular, Automatic Speech Recognition (ASR) is being used as a central component of Computer-Assisted Interpreting (CAI) tools, either bundled or standalone. This study pursues three main aims: (i) to establish the most suitable ASR application for building ad hoc corpora by comparing several ASR tools and assessing their performance; (ii) to use ASR in order to extract terminology from the transcriptions obtained from video-recorded speeches, in this case talks on climate change and adaptation; and (iii) to promote the adoption of ASR as a new documentation tool among interpreters. To the best of our knowledge, this is one of the first studies to explore the possibility of Speech-to-Text (S2T) technology for meeting the preparatory needs of interpreters as regards terminology and background/domain knowledge.
Citation
Gaber, M., Corpas Pastor, G. and Omer, A. (2020) La tecnología habla-texto como herramienta de documentación para intérpretes: Nuevo método para compilar un corpus ad hoc y extraer terminología a partir de discursos orales en vídeo, TRANS-Revista de Traductología, 24 (2020), pp. 263-281.
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Journal article
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en
Description
© 2020 The Authors. Published by the Department of Translation and Interpreting at the University of Malaga. This is an open access article available under a Creative Commons licence.
The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.24310/TRANS.2020.v0i24.7876
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ISSN
1137-2311
EISSN
2603-6967