A recent study published on arXiv focuses on the analysis of lexical errors in machine translation from English into Romanian, particularly emphasizing the difficulties encountered in translating official texts. The research highlights challenges specific to health-related information disseminated by organizations such as the World Health Organization and Gavi. These challenges underscore the complexity of accurately conveying specialized terminology and nuanced meanings in machine-translated content. By examining these lexical errors, the study aims to improve the quality and reliability of machine translation systems in critical domains. This analysis contributes to ongoing efforts to enhance natural language processing tools for better cross-lingual communication. The findings are especially relevant given the increasing reliance on automated translation for disseminating important public health information. Overall, the research sheds light on the need for targeted improvements in machine translation to support effective information exchange between English and Romanian speakers.