2026-05-30T12:56:19Zhttps://riuma.uma.es/rest/oai/requestoai: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
2025-07-03T06:44:58Z
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