2026-06-01T17:38:31Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/392212026-02-03T12:32:00Zcom_10630_2254col_10630_37959

Assessing the Performance of Large Language Models for Bilingual Term Extraction in Interpreting and Translation. Gaber, Mahmoud Inteligencia artificial Traducción Lingüística computacional Traducción automática Large Language Models provide us with efficient tools for various Natural Language Processing tasks. This research evaluates four AI tools—ChatGPT, DeepSeek, Copilot, Gemini and Manus—for extracting Spanish-Arabic bilingual terminology for translation and interpreting purposes. Given the lack of research on non-Indo-European languages, the study assesses each tool using Precision, Recall, F-score, and Accuracy to determine their suitability for professional use and improve AI-driven terminology management. 2025-07-03T06:44:58Z 2025-07-03T06:44:58Z 2025 conference output https://hdl.handle.net/10630/39221 eng Language Mediation in Flux: Assessing the Impact of Generative AI Universidad Pontificia Comillas (Madrid, Spain) 20 y 21/05/2025 Postdoctoral research contract (PPIT-UMA) VIP II (PID2020-112818GB-I00/AEI/10.13039/501100011033) RECOVER (ProyExcel_00540) DIFARMA (HUM106-G-FEDER) DÍGAME (JA.A1.3-06) open access