Bridging Theory and Practice: The Role of Language Quality Assessment in Translation Technology Training

In today’s globalized economy, delivering high-quality translations is essential for effective cross-cultural communication and professional localization. Machine Translation Evaluation (MTE), supported by Language Quality Assessment (LQA) frameworks within Translation Management Systems, provides systematic methods for evaluating the accuracy, fluency, and contextual relevance of machine-generated translations. This study explores the integration of LQA workflow into Translation Technology education at the University of Aveiro, where 14 Master’s students in Specialized Translation were tasked with evaluating machine-translated texts. Through hands-on activities, students identified, categorized, and assessed translation errors, gaining critical competencies in quality assessment and error analysis. The findings highlight the importance of integrating LQA training into academic curricula to prepare future translators for the demands of a rapidly evolving industry.