How to master phraseology and automate the documentation process: a technological solution for interpreter training in the Spanish<>Arabic combination Cover Image

Cómo dominar la fraseología y automatizar el proceso de documentación: una solución tecnológica para la formación de intérpretes en la combinación español<>árabe
How to master phraseology and automate the documentation process: a technological solution for interpreter training in the Spanish<>Arabic combination

Author(s): Mahmoud Gaber
Subject(s): Language and Literature Studies, Applied Linguistics, Computational linguistics, Phraseology
Published by: Univerzita Palackého v Olomouci
Keywords: semi-automatic corpus compilation; phraseology extraction: interpreting technologies; automatic speech recognition; conference interpreting;

Summary/Abstract: Interpreting technologies are becoming more and more widespread thanks to the advances in Artificial Intelligence, the changes in the work environment caused by the COVID-19 pandemic, commercial interests, etc. However, there is a certain scarcity, in terms of quantity and quality, of technologies available to professional interpreters. This scarcity is even more acute in the field of interpreting training, especially in under-resourced languages, as in the case of Arabic. This study aims to: i) fill the existing gaps in interpreting training by introducing a methodology based on technological solutions for the documentation and mastery of phraseology from comparable corpora (spoken and written text), and ii) introduce a contrastive analysis of phraseology between Arabic and Spanish. In order to achieve our objectives, the design protocol and compilation process of the comparable corpora shall be described in detail. The corpus exploitation method used to carry out the documentation and phraseology extraction previous to the interpretation task is also illustrated. The results of the study reveal several advantages of our methodology for the trainee interpreter during documentation and preparation on a specialised topic (cybersecurity). Moreover, the study illustrates the most frequent collocations in both Arabic and Spanish subcorpora for the topic we have selected.

  • Issue Year: 35/2023
  • Issue No: 1
  • Page Range: 55-70
  • Page Count: 16
  • Language: Spanish