The rapid progressions in machine translation technologies have sparked significant interest in comparing their outputs against those delivered by human translators. Therefore, this Master’s thesis presents quantitative and qualitative research on the topic of evaluation of translation, specifically, the evaluation of human and machine translation for the Croatian-English language pair in domain-specific terminology. Even though machine translation has significantly improved in the last decade, there is still need to evaluate its quality. Therefore, this thesis explores the quality of machine-translated texts, i.e. if such texts are considered acceptable by native English-speaking evaluators, and if non-native English speakers were able to identify which phrase is a machine translation. The research was done through a survey with multiple choice questions; one survey was made for native speakers of English, and one for non-native speakers of English (i.e. native Croatian speakers), but the same phrases were given in both surveys. The results of the survey conducted with native speakers reveal that native English speakers find human translations more acceptable than the translations done by a machine. The results of the survey conducted with non-native speakers reveal that native Croatian speakers are able to distinguish between machine-translated and human-translated phrases in English.