Artificial intelligence in the training of public service interpreters

IF 1.3 2区文学 Q2 COMMUNICATION

Language & Communication Pub Date : 2025-04-28 DOI:10.1016/j.langcom.2025.04.002

Laura Parrilla Gómez , Encarnación Postigo Pinazo

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引用次数: 0

Abstract

Great advances achieved in recent years in artificial intelligence (AI) have made it possible to address the huge challenges posed in the field of education. Indeed, thanks to the development of innovative practices, Sustainable Development Goal 4 has been enhanced. This goal is one of the 17 global goals established by the United Nations in 2015 as part of the 2030 Agenda for Sustainable Development. It consists of ensuring inclusive and equitable quality education and of promoting lifelong learning opportunities for all.

Over the last decade, new applications and digital tools have allowed future interpreters to access training materials in the field of Public Service Interpreting (PSI) and to develop their skills during their training. The full potential of these AI tools, however, have yet to be fully explored in the field of Translation and Interpreting, and specifically in the Public Service sector.

Transcription and audio recognition tools have been analysed (Ünlü, 2023; Parrilla Gómez and Postigo Pinazo, 2023), as well as the tools to support preparation phases such as terminology management (Braun, 2019). But the use of the different AI options available on the market require further analysis to verify their validity for training purposes.

Given the important role of new technologies in the training of interpreters, and the need to upskill interpreters working in the public sector, we explored the potential of AI technologies to help ensure quality training and the attainment of the 2030 Education Agenda. The research questions were thus as follows: What are the ethical and pedagogical implications of AI for the training of Public Service interpreters? How can educators, researchers and future interpreters benefit from these tools? And lastly: Which tools could adequately replace the real materials which are lacking? In order to answer these questions, three AI tools (Chat GPT, Twee, and ElevenLabs) have been analysed to assess their effectiveness in generating material for the bilateral interpreting classroom in the context of public services, and then to analyse the students‘ and teachers’ opinion of these materials.

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人工智能在公共服务口译员培训中的应用

近年来，人工智能（AI）取得了巨大的进步，这使得解决教育领域面临的巨大挑战成为可能。事实上，由于创新实践的发展，可持续发展目标4得到了加强。这一目标是联合国在2015年制定的17项全球目标之一，是《2030年可持续发展议程》的一部分。它包括确保包容和公平的优质教育，并为所有人提供终身学习机会。在过去的十年中，新的应用程序和数字工具使未来的口译员能够访问公共服务口译（PSI）领域的培训材料，并在培训期间发展他们的技能。然而，这些人工智能工具的全部潜力尚未在翻译和口译领域，特别是在公共服务部门得到充分探索。转录和音频识别工具已被分析(Ünlü， 2023；Parrilla Gómez and Postigo Pinazo, 2023)，以及支持准备阶段（如术语管理）的工具（Braun, 2019）。但是，市场上可用的不同人工智能选项的使用需要进一步分析，以验证其用于培训目的的有效性。鉴于新技术在口译培训中的重要作用，以及提高公共部门口译人员技能的必要性，我们探索了人工智能技术的潜力，以帮助确保高质量培训和实现《2030年教育议程》。因此，研究问题如下：人工智能对公共服务口译员培训的伦理和教学意义是什么？教育工作者、研究人员和未来的口译员如何从这些工具中受益？最后：哪些工具可以充分取代真正缺乏的材料？为了回答这些问题，我们分析了三种人工智能工具（Chat GPT、Twee和ElevenLabs），以评估它们在公共服务背景下为双边口译课堂生成材料的有效性，然后分析学生和教师对这些材料的看法。

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来源期刊

Language & Communication Multiple-

CiteScore

3.40

自引率

6.70%

发文量

期刊介绍： This journal is unique in that it provides a forum devoted to the interdisciplinary study of language and communication. The investigation of language and its communicational functions is treated as a concern shared in common by those working in applied linguistics, child development, cultural studies, discourse analysis, intellectual history, legal studies, language evolution, linguistic anthropology, linguistics, philosophy, the politics of language, pragmatics, psychology, rhetoric, semiotics, and sociolinguistics. The journal invites contributions which explore the implications of current research for establishing common theoretical frameworks within which findings from different areas of study may be accommodated and interrelated. By focusing attention on the many ways in which language is integrated with other forms of communicational activity and interactional behaviour, it is intended to encourage approaches to the study of language and communication which are not restricted by existing disciplinary boundaries.