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Daniel Dejica

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Open access 2026

Machine Translation, Post-Editing, and Quality Assessment in English–Romanian Medical Translation: Insights from Professional Practice

The integration of machine translation (MT) and artificial intelligence into translation workflows has significantly transformed professional practice, particularly in high-stakes domains such as medical translation. This study investigates professional translators’ perspectives on post-editing (PE) and translation quality assessment (TQA) in English–Romanian medical translation. Drawing on structured interviews and thematic analysis, the findings indicate that MT is primarily used as a support tool due to persistent issues related to terminology and contextual accuracy. Post-editing is considered essential, though often applied without structured adherence to standards such as ISO 18587, while TQA models are unevenly implemented in practice. The study also identifies a significant gap between academic training and professional requirements, particularly regarding technological and domain-specific competences. These findings highlight the need for a more integrated and practice-oriented approach to translator training in the Romanian context.

Z. Kovács, Daniel Dejica · 0 citations
Open access 2026

Translating Grammatical Gender in English–Arabic Literary Contexts: A Mixed-Methods Study of Student Performance

This study investigates the translation of gender from English into Arabic, focusing on the performance of senior-level translation students in a literary context. Building on previous research on verbal and adjectival translation, the article adopts a mixed-methods approach combining quantitative frequency analysis with qualitative examination of error types. The corpus consists of selected passages from Naguib Mahfouz’s Midaq Alley, translated into Modern Standard Arabic by student translators. Gender-related renderings are classified as similar, different or unattempted in order to assess both accuracy and omission. The findings indicate that while gender is generally handled correctly at the lexical level, significant difficulties arise in maintaining agreement within phrases and clauses, particularly in cases involving inanimate or abstract nouns and structurally complex constructions. The study highlights the impact of grammatical asymmetry between English and Arabic on translation performance and underscores the need for more systematic instruction in contrastive grammar and contextual analysis. It contributes to a more nuanced understanding of gender as a key factor in English–Arabic literary translation and provides implications for translator training.

K. Mansoor, Daniel Dejica · 0 citations