Assessing the Performance of Large Language Models for Bilingual Term Extraction in Interpreting and Translation.

Simple item page
dc.centroFacultad de Filosofía y Letrases_ES
dc.contributor.authorGaber, Mahmoud
dc.date.accessioned2025-07-03T06:44:58Z
dc.date.available2025-07-03T06:44:58Z
dc.date.issued2025
dc.departamentoTraducción e Interpretaciónes_ES
dc.description.abstractLarge 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.es_ES
dc.description.sponsorshipUniversidad de Málagaes_ES
dc.description.sponsorshipInstituto Universitario de Investigación de Tecnologías Lingüísticas Multilingüeses_ES
dc.identifier.urihttps://hdl.handle.net/10630/39221
dc.language.isoenges_ES
dc.relation.eventdate20 y 21/05/2025es_ES
dc.relation.eventplaceUniversidad Pontificia Comillas (Madrid, Spain)es_ES
dc.relation.eventtitleLanguage Mediation in Flux: Assessing the Impact of Generative AIes_ES
dc.relation.projectIDPostdoctoral research contract (PPIT-UMA)es_ES
dc.relation.projectIDVIP II (PID2020-112818GB-I00/AEI/10.13039/501100011033)es_ES
dc.relation.projectIDRECOVER (ProyExcel_00540)es_ES
dc.relation.projectIDDIFARMA (HUM106-G-FEDER)es_ES
dc.relation.projectIDDÍGAME (JA.A1.3-06)es_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectInteligencia artificiales_ES
dc.subjectTraducciónes_ES
dc.subjectLingüística computacionales_ES
dc.subjectTraducción automáticaes_ES
dc.subject.otherLarge Language Modelses_ES
dc.subject.otherArtificial Intelligencees_ES
dc.subject.otherAutomatic Terminology Extractiones_ES
dc.subject.otherTerminology Managementes_ES
dc.subject.otherTranslation and Interpretinges_ES
dc.subject.otherLLMs (Large Language Models) assessmentes_ES
dc.subject.otherBilingual Term Extractiones_ES
dc.titleAssessing the Performance of Large Language Models for Bilingual Term Extraction in Interpreting and Translation.es_ES
dc.typeconference outputes_ES
dspace.entity.typePublication

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
CIUTI_LLMs_Gaber.pdf
Size:
3.02 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Ponencias, Comunicaciones a congresos y Pósteres