A Translational Comparative Analysis of Horse Imagery in Selected Abbasid and Andalusian Poetry

Musa Alzghoul; María Delgado Pérez; Emad Abuhammam; Tahani Alazzam

doi:10.47012/jjmll.17.4.11

Authors

Musa Alzghoul Department of English, Al Zaytounah University of Jordan, Jordan https://orcid.org/0009-0000-9890-6975
María Delgado Pérez Department of Integrated Studies, The University of Seville, Spain https://orcid.org/0000-0002-2019-969X
Emad Abuhammam Department of Integrated Studies, The University of Seville, Spain https://orcid.org/0000-0001-8265-3176
Tahani Alazzam Princess Alia Community College, Balqa Applied University, Jordan https://orcid.org/0009-0009-2859-2574

DOI:

https://doi.org/10.47012/jjmll.17.4.11

Keywords:

ChatGPT, Artificial Intelligence, Political Texts, English, Arabic

Abstract

This study aims to assess the quality of translating political texts from English to Arabic using the artificial intelligence tool ChatGPT. It adopts the updated version of the Multidimensional Quality Metrics (MQM) framework to evaluate the quality of translations produced by ChatGPT. The data includes 30 political articles selected from BBC World and CNN World in English and their translations into Arabic. The study identified several linguistic errors encountered by translators using ChatGPT, such as fluency and accuracy. Translations lacking these important aspects often lead to misunderstandings and confuse the users. Despite these issues, the ChatGPT tool demonstrated good translation performance in political news, with an overall translation quality rating of 93%.

highlights

The paper conducts a detailed comparative analysis of the horse imagery in Andalusian poetry.
It identifies significant similarities between the horse and nature representations.
It offers English translations of key Andalusian poems.
It systematically explores thematic similarities in Andalusian poetry.
It contributes a new perspective to the field of Andalusian literary studies.