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

Mahmoud Gaber; Gloria Corpas Pastor; Ahmed Omer

doi:10.24310/TRANS.2020.v0i24.7876

Autores/as

Mahmoud Gaber Universidad de Málaga España
Gloria Corpas Pastor Universidad de Málaga
Ahmed Omer Universidad de Wolverhampton Reino Unido

DOI:

https://doi.org/10.24310/TRANS.2020.v0i24.7876

Palabras clave:

Transcripción automática, herramientas de interpretación asistida por ordenador, extracción de terminología, corpus ad hoc, tecnologías de la interpretación

Resumen

Aunque el ámbito de la interpretación no se ha beneficiado de los desarrollos tecnológicos en la misma medida que en traducción, actualmente asistimos al surgimiento de gran interés por desarrollar soluciones adaptadas a las necesidades de los intérpretes. En concreto, el Reconocimiento Automático de Habla (RAH) comienza a ser utilizado como parte de las herramientas de interpretación asistida, bien como componente de tales sistemas o como aplicación autónoma. El presente estudio persigue tres objetivos principales: i) determinar la herramienta de transcripción automática más apropiada para la compilación de corpus ad hoc, comparando diversos sistemas de transcripción automática y evaluando su rendimiento; ii) utilizar RAH para extraer terminología a partir de las transcripciones de discursos orales en vídeo; y iii) promover el uso de RAH como nueva herramienta documental en interpretación. Se trata de uno de los primeros estudios en los que se abordan las posibilidades que ofrece la tecnología habla-texto para cubrir las necesidades terminológicas y documentales de los intérpretes en la fase de preparación de un encargo dado.

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Biografía del autor/a

Mahmoud Gaber, Universidad de Málaga

Licenciado en Filología Hispánica por la Universidad de Al-Azhar, Egipto. Máster en Comunicación Intercultural, Interpretación y Traducción en los Servicios Públicos por la Universidad de Alcalá de Henares, España. Traductor jurado, acreditado por el Ministerio de Justicia, Emiratos Árabes Unidos. Ha realizado una estancia de investigación en el Research Group in Computational Linguistics, University of Wolverhampton, Reino Unido. Actualmente becario predoctoral en el marco del Programa Estatal de Promoción del Talento y su Empleabilidad del Ministerio de Economía, Industria y Competitividad para la formación de doctores.

Gloria Corpas Pastor, Universidad de Málaga

PhD in English Philology from the Universidad Complutense de Madrid (1994). Visiting Professor in Translation Technology at the Research Institute in Information and Language Processing (RIILP) of the University of Wolverhampton, UK (since 2007), and Professor in Translation and Interpreting (2008). Spanish delegate for AEN/CTN 174 and CEN/BTTF 138, actively involved in the development of the UNE-EN 15038:2006 and currently involved in the future ISO Standard (ISO TC37/SC2-WG6 "Translation and Interpreting"), where she is in charge of ISO/AWI 20539 (Translation, interpreting and related technology – Vocabulary) and ISO/DIS 18841 (Interpreting services – General requirements and recommendations). President of the Evaluation and Verification Commission of the Arts and Humanities field at Fundación para el Conocimiento Madri+d and member of the specific committee for doctorate programmes at AQU. She is currently Director of the Department of Translation and Interpreting of the University of Malaga.

Ahmed Omer, Universidad de Wolverhampton

Ph.D Researcher in Computational Linguistics, Research Institute in Information and Language Processing, University of Wolverhampton, UK. M.Sc in Information Technology, Herriot Watt University, Edinburgh, UK. B.Sc in Computer Science, Herriot Watt University, Edinburgh, UK. Corpus Workbench Programmer, Research Institute in Information and Language Processing, University of Wolverhampton, UK.

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