{"id":23998,"date":"2026-08-24T00:35:09","date_gmt":"2026-08-23T21:35:09","guid":{"rendered":"https:\/\/su.edu.ye\/voga\/?p=23998"},"modified":"2026-08-24T00:41:13","modified_gmt":"2026-08-23T21:41:13","slug":"masters-degree-awarded-to-researcher-latifa-faisal-al-sharabi-in-translation-with-distinction","status":"publish","type":"post","link":"https:\/\/su.edu.ye\/voga\/en\/23998\/","title":{"rendered":"Master\u2019s Degree Awarded to Researcher Latifa Faisal Al-Sharabi in Translation with Distinction"},"content":{"rendered":"

Researcher Latifa Faisal Saeed Al\u2011Sharabi was awarded a Master\u2019s Degree in Translation with an average of Excellent and a grade of (95%) for her thesis titled: Quality Assessment of Translations Generated by Google Gemini When Translating Legal \u200eDocuments between Arabic and English: A Case Study of Rental Contracts, which was submitted to the Community Center for Translation and Language \u200eTeaching (CCTLT) \u2013 Sana\u2019a University. The MA defense was held on Monday, August 17, 2026\u200e\u200e.
\nThe MA Viva-voce Committee, which was formed based on a resolution issued by the Graduate Studies and Scientific Research Council, consisted of the following:
\n\u2022 Prof. Abdou Ahmed Mounassar\u2013 Thamar University \u2013 External Examiner and Committee Chair.
\n\u2022 Assoc. Prof. Abdulwadood Ahmed Annuzaili \u2013 Sana\u2019a University \u2013 Internal Examiner and Committee Member.
\n\u2022 Assoc. Prof. Mujeeb Ali Murshid Qasim \u2013 Supervisor and Committee Member.<\/p>\n

The thesis aimed to:
\n\uf02d Explore the pressing need to evaluate the quality, capabilities, and limitations of AI-assisted translation tools, such as Google Gemini, in the field of legal translation.
\n\uf02d Evaluate the quality of Google Gemini in translating lease agreements between Arabic and English and identify its capabilities, limitations, and areas for improvement based on students\u2019 responses and translation quality.
\nThe study adopted a mixed-method approach using a convergent parallel design within a descriptive-analytical framework that combined quantitative and qualitative techniques. The study sample consisted of 30 postgraduate translation students and 4 professional translation experts purposively selected from different universities in Sana\u2019a.
\nData were collected through a carefully designed translation test, a questionnaire, and semi-structured interviews. The questionnaire measured students\u2019 perceptions of the accuracy, fluency, clarity, and adequacy of Google Gemini\u2019s outputs, while the translation test assessed linguistic, contextual, and stylistic difficulties using a five-level rating scale.
\nThe study provided detailed and comprehensive data describing Google Gemini\u2019s capabilities and shortcomings in legal translation. It also evaluated its quality in translating lease agreements between Arabic and English and identified its capabilities, limitations, and potential areas for improvement.
\nIn light of the findings, the study recommended considering Google Gemini translation as a useful tool for preparing initial translation drafts, while emphasizing the need to further develop AI-assisted translation technologies for legal applications.
\nIt also recommended conducting future studies to analyze the performance of other large language models, such as ChatGPT-4, DeepSeek, and Qwen, as well as specialized legal language models, in translating different types of legal documents.
\nThe thesis defense was attended by faculty members, researchers, students, and interested participants as well as the researcher’s colleagues and family members.<\/p>\n

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